{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import sys\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.neighbors import KNeighborsRegressor\n",
    "from sklearn.svm import SVR\n",
    "from sklearn.linear_model import Lasso\n",
    "from sklearn.linear_model import Ridge\n",
    "from sklearn.neural_network import MLPRegressor\n",
    "from sklearn.tree import DecisionTreeRegressor\n",
    "from sklearn.tree import ExtraTreeRegressor\n",
    "from xgboost import XGBRegressor\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.ensemble import AdaBoostRegressor\n",
    "from sklearn.ensemble import GradientBoostingRegressor\n",
    "from sklearn.ensemble import BaggingRegressor\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "from sklearn.metrics import mean_squared_error as MSE\n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn.metrics import mean_absolute_error #平方绝对误差\n",
    "from sklearn.metrics import r2_score#R square\n",
    "\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_325 = pd.read_excel(\"3-数据清洗后325样本数据.xlsx\", na_values=np.nan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(325, 203)"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_325.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['样本编号', '时间', 'RON损失', '原料性质：硫含量', '原料性质：辛烷值', '原料性质：饱和烃', '原料性质：烯烃',\n",
       "       '原料性质：芳烃', '原料性质：溴值', '原料性质：密度',\n",
       "       ...\n",
       "       'S-ZORB.AT-0011.DACA.PV', 'S-ZORB.FT_1204.DACA.PV',\n",
       "       'S-ZORB.LC_5102.PIDA.PV', 'S-ZORB.TE_1102.DACA.PV',\n",
       "       'S-ZORB.CAL.LINE.PV', 'S-ZORB.CAL.CANGLIANG.PV', 'S-ZORB.CAL.SPEED.PV',\n",
       "       'S-ZORB.FT_1503.TOTALIZERA.PV', 'S-ZORB.FT_1504.TOTALIZERA.PV',\n",
       "       'S-ZORB.PC_1001A.PV'],\n",
       "      dtype='object', length=203)"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_325.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_325.drop(['样本编号', '时间', '产品性质：硫含量', '产品性质：辛烷值'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(325, 199)"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_325.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [],
   "source": [
    "label = data_325['RON损失']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "#data_325['RON损失'] = data_325['RON损失']*100.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    1.38\n",
       "1    1.18\n",
       "2    1.38\n",
       "3    1.38\n",
       "4    1.28\n",
       "Name: RON损失, dtype: float64"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "#data_325.drop(['RON损失'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RON损失</th>\n",
       "      <th>原料性质：硫含量</th>\n",
       "      <th>原料性质：辛烷值</th>\n",
       "      <th>原料性质：饱和烃</th>\n",
       "      <th>原料性质：烯烃</th>\n",
       "      <th>原料性质：芳烃</th>\n",
       "      <th>原料性质：溴值</th>\n",
       "      <th>原料性质：密度</th>\n",
       "      <th>待生吸附剂性质：焦炭</th>\n",
       "      <th>待生吸附剂性质：S</th>\n",
       "      <th>...</th>\n",
       "      <th>S-ZORB.AT-0011.DACA.PV</th>\n",
       "      <th>S-ZORB.FT_1204.DACA.PV</th>\n",
       "      <th>S-ZORB.LC_5102.PIDA.PV</th>\n",
       "      <th>S-ZORB.TE_1102.DACA.PV</th>\n",
       "      <th>S-ZORB.CAL.LINE.PV</th>\n",
       "      <th>S-ZORB.CAL.CANGLIANG.PV</th>\n",
       "      <th>S-ZORB.CAL.SPEED.PV</th>\n",
       "      <th>S-ZORB.FT_1503.TOTALIZERA.PV</th>\n",
       "      <th>S-ZORB.FT_1504.TOTALIZERA.PV</th>\n",
       "      <th>S-ZORB.PC_1001A.PV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.38</td>\n",
       "      <td>188.0</td>\n",
       "      <td>90.6</td>\n",
       "      <td>53.230000</td>\n",
       "      <td>24.400000</td>\n",
       "      <td>22.370000</td>\n",
       "      <td>61.487143</td>\n",
       "      <td>726.085714</td>\n",
       "      <td>2.32</td>\n",
       "      <td>7.30</td>\n",
       "      <td>...</td>\n",
       "      <td>0.496243</td>\n",
       "      <td>18.292067</td>\n",
       "      <td>42.015425</td>\n",
       "      <td>425.929515</td>\n",
       "      <td>0.282564</td>\n",
       "      <td>37.804650</td>\n",
       "      <td>3.324945</td>\n",
       "      <td>39063124.5</td>\n",
       "      <td>39608757.0</td>\n",
       "      <td>0.353271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.18</td>\n",
       "      <td>169.0</td>\n",
       "      <td>90.5</td>\n",
       "      <td>52.300000</td>\n",
       "      <td>26.400000</td>\n",
       "      <td>21.300000</td>\n",
       "      <td>61.880000</td>\n",
       "      <td>731.300000</td>\n",
       "      <td>2.37</td>\n",
       "      <td>7.34</td>\n",
       "      <td>...</td>\n",
       "      <td>0.491385</td>\n",
       "      <td>19.842605</td>\n",
       "      <td>40.903878</td>\n",
       "      <td>421.534365</td>\n",
       "      <td>0.281381</td>\n",
       "      <td>37.876006</td>\n",
       "      <td>3.321169</td>\n",
       "      <td>38810581.5</td>\n",
       "      <td>39389299.0</td>\n",
       "      <td>0.354504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.38</td>\n",
       "      <td>177.0</td>\n",
       "      <td>90.7</td>\n",
       "      <td>52.300000</td>\n",
       "      <td>26.314286</td>\n",
       "      <td>21.385714</td>\n",
       "      <td>61.722857</td>\n",
       "      <td>729.614286</td>\n",
       "      <td>2.43</td>\n",
       "      <td>7.27</td>\n",
       "      <td>...</td>\n",
       "      <td>0.495483</td>\n",
       "      <td>26.994896</td>\n",
       "      <td>42.103142</td>\n",
       "      <td>425.258420</td>\n",
       "      <td>0.282277</td>\n",
       "      <td>37.907927</td>\n",
       "      <td>3.319569</td>\n",
       "      <td>38693812.0</td>\n",
       "      <td>39312616.5</td>\n",
       "      <td>0.350181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.38</td>\n",
       "      <td>159.0</td>\n",
       "      <td>90.4</td>\n",
       "      <td>52.300000</td>\n",
       "      <td>26.100000</td>\n",
       "      <td>21.600000</td>\n",
       "      <td>61.330000</td>\n",
       "      <td>725.400000</td>\n",
       "      <td>3.08</td>\n",
       "      <td>7.35</td>\n",
       "      <td>...</td>\n",
       "      <td>0.490180</td>\n",
       "      <td>26.324458</td>\n",
       "      <td>41.970416</td>\n",
       "      <td>424.406195</td>\n",
       "      <td>0.282275</td>\n",
       "      <td>39.177396</td>\n",
       "      <td>3.210211</td>\n",
       "      <td>38410862.5</td>\n",
       "      <td>39120204.5</td>\n",
       "      <td>0.353930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.28</td>\n",
       "      <td>173.0</td>\n",
       "      <td>89.6</td>\n",
       "      <td>52.242857</td>\n",
       "      <td>26.671429</td>\n",
       "      <td>21.085714</td>\n",
       "      <td>61.332857</td>\n",
       "      <td>725.428571</td>\n",
       "      <td>2.45</td>\n",
       "      <td>6.58</td>\n",
       "      <td>...</td>\n",
       "      <td>0.501194</td>\n",
       "      <td>30.224367</td>\n",
       "      <td>42.900094</td>\n",
       "      <td>428.514740</td>\n",
       "      <td>0.282963</td>\n",
       "      <td>39.508370</td>\n",
       "      <td>3.178832</td>\n",
       "      <td>38283000.0</td>\n",
       "      <td>39045953.5</td>\n",
       "      <td>0.358053</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 199 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   RON损失  原料性质：硫含量  原料性质：辛烷值   原料性质：饱和烃    原料性质：烯烃    原料性质：芳烃    原料性质：溴值  \\\n",
       "0   1.38     188.0      90.6  53.230000  24.400000  22.370000  61.487143   \n",
       "1   1.18     169.0      90.5  52.300000  26.400000  21.300000  61.880000   \n",
       "2   1.38     177.0      90.7  52.300000  26.314286  21.385714  61.722857   \n",
       "3   1.38     159.0      90.4  52.300000  26.100000  21.600000  61.330000   \n",
       "4   1.28     173.0      89.6  52.242857  26.671429  21.085714  61.332857   \n",
       "\n",
       "      原料性质：密度  待生吸附剂性质：焦炭  待生吸附剂性质：S  ...  S-ZORB.AT-0011.DACA.PV  \\\n",
       "0  726.085714        2.32       7.30  ...                0.496243   \n",
       "1  731.300000        2.37       7.34  ...                0.491385   \n",
       "2  729.614286        2.43       7.27  ...                0.495483   \n",
       "3  725.400000        3.08       7.35  ...                0.490180   \n",
       "4  725.428571        2.45       6.58  ...                0.501194   \n",
       "\n",
       "   S-ZORB.FT_1204.DACA.PV  S-ZORB.LC_5102.PIDA.PV  S-ZORB.TE_1102.DACA.PV  \\\n",
       "0               18.292067               42.015425              425.929515   \n",
       "1               19.842605               40.903878              421.534365   \n",
       "2               26.994896               42.103142              425.258420   \n",
       "3               26.324458               41.970416              424.406195   \n",
       "4               30.224367               42.900094              428.514740   \n",
       "\n",
       "   S-ZORB.CAL.LINE.PV  S-ZORB.CAL.CANGLIANG.PV  S-ZORB.CAL.SPEED.PV  \\\n",
       "0            0.282564                37.804650             3.324945   \n",
       "1            0.281381                37.876006             3.321169   \n",
       "2            0.282277                37.907927             3.319569   \n",
       "3            0.282275                39.177396             3.210211   \n",
       "4            0.282963                39.508370             3.178832   \n",
       "\n",
       "   S-ZORB.FT_1503.TOTALIZERA.PV  S-ZORB.FT_1504.TOTALIZERA.PV  \\\n",
       "0                    39063124.5                    39608757.0   \n",
       "1                    38810581.5                    39389299.0   \n",
       "2                    38693812.0                    39312616.5   \n",
       "3                    38410862.5                    39120204.5   \n",
       "4                    38283000.0                    39045953.5   \n",
       "\n",
       "   S-ZORB.PC_1001A.PV  \n",
       "0            0.353271  \n",
       "1            0.354504  \n",
       "2            0.350181  \n",
       "3            0.353930  \n",
       "4            0.358053  \n",
       "\n",
       "[5 rows x 199 columns]"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_325.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RON损失</th>\n",
       "      <th>原料性质：硫含量</th>\n",
       "      <th>原料性质：辛烷值</th>\n",
       "      <th>原料性质：饱和烃</th>\n",
       "      <th>原料性质：烯烃</th>\n",
       "      <th>原料性质：芳烃</th>\n",
       "      <th>原料性质：溴值</th>\n",
       "      <th>原料性质：密度</th>\n",
       "      <th>待生吸附剂性质：焦炭</th>\n",
       "      <th>待生吸附剂性质：S</th>\n",
       "      <th>...</th>\n",
       "      <th>S-ZORB.AT-0011.DACA.PV</th>\n",
       "      <th>S-ZORB.FT_1204.DACA.PV</th>\n",
       "      <th>S-ZORB.LC_5102.PIDA.PV</th>\n",
       "      <th>S-ZORB.TE_1102.DACA.PV</th>\n",
       "      <th>S-ZORB.CAL.LINE.PV</th>\n",
       "      <th>S-ZORB.CAL.CANGLIANG.PV</th>\n",
       "      <th>S-ZORB.CAL.SPEED.PV</th>\n",
       "      <th>S-ZORB.FT_1503.TOTALIZERA.PV</th>\n",
       "      <th>S-ZORB.FT_1504.TOTALIZERA.PV</th>\n",
       "      <th>S-ZORB.PC_1001A.PV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RON损失</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.154923</td>\n",
       "      <td>-0.036591</td>\n",
       "      <td>0.227861</td>\n",
       "      <td>-0.187659</td>\n",
       "      <td>-0.060861</td>\n",
       "      <td>0.116712</td>\n",
       "      <td>-0.106693</td>\n",
       "      <td>-0.159619</td>\n",
       "      <td>0.009276</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.222649</td>\n",
       "      <td>0.112742</td>\n",
       "      <td>-0.042443</td>\n",
       "      <td>0.165268</td>\n",
       "      <td>0.123298</td>\n",
       "      <td>0.319542</td>\n",
       "      <td>-0.320362</td>\n",
       "      <td>0.301216</td>\n",
       "      <td>0.306107</td>\n",
       "      <td>0.230475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>原料性质：硫含量</th>\n",
       "      <td>-0.154923</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.475357</td>\n",
       "      <td>-0.439445</td>\n",
       "      <td>0.393012</td>\n",
       "      <td>0.035479</td>\n",
       "      <td>-0.134371</td>\n",
       "      <td>0.191346</td>\n",
       "      <td>0.198535</td>\n",
       "      <td>0.026314</td>\n",
       "      <td>...</td>\n",
       "      <td>0.386420</td>\n",
       "      <td>0.085957</td>\n",
       "      <td>0.231091</td>\n",
       "      <td>0.128713</td>\n",
       "      <td>-0.035451</td>\n",
       "      <td>-0.407507</td>\n",
       "      <td>0.386130</td>\n",
       "      <td>-0.411012</td>\n",
       "      <td>-0.384098</td>\n",
       "      <td>-0.369452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>原料性质：辛烷值</th>\n",
       "      <td>-0.036591</td>\n",
       "      <td>0.475357</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.428871</td>\n",
       "      <td>0.366152</td>\n",
       "      <td>0.081117</td>\n",
       "      <td>-0.105743</td>\n",
       "      <td>0.245771</td>\n",
       "      <td>0.005350</td>\n",
       "      <td>-0.023306</td>\n",
       "      <td>...</td>\n",
       "      <td>0.203056</td>\n",
       "      <td>-0.066105</td>\n",
       "      <td>0.029174</td>\n",
       "      <td>0.093289</td>\n",
       "      <td>0.074542</td>\n",
       "      <td>-0.072345</td>\n",
       "      <td>0.095342</td>\n",
       "      <td>-0.134403</td>\n",
       "      <td>-0.124346</td>\n",
       "      <td>-0.165202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>原料性质：饱和烃</th>\n",
       "      <td>0.227861</td>\n",
       "      <td>-0.439445</td>\n",
       "      <td>-0.428871</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.927412</td>\n",
       "      <td>0.005614</td>\n",
       "      <td>0.074326</td>\n",
       "      <td>-0.137826</td>\n",
       "      <td>-0.194133</td>\n",
       "      <td>0.210229</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.564335</td>\n",
       "      <td>0.170968</td>\n",
       "      <td>-0.256328</td>\n",
       "      <td>0.082442</td>\n",
       "      <td>0.156561</td>\n",
       "      <td>0.543049</td>\n",
       "      <td>-0.607070</td>\n",
       "      <td>0.437689</td>\n",
       "      <td>0.462358</td>\n",
       "      <td>0.708511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>原料性质：烯烃</th>\n",
       "      <td>-0.187659</td>\n",
       "      <td>0.393012</td>\n",
       "      <td>0.366152</td>\n",
       "      <td>-0.927412</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.379168</td>\n",
       "      <td>0.030349</td>\n",
       "      <td>-0.039253</td>\n",
       "      <td>0.195710</td>\n",
       "      <td>-0.213384</td>\n",
       "      <td>...</td>\n",
       "      <td>0.603051</td>\n",
       "      <td>-0.157034</td>\n",
       "      <td>0.291415</td>\n",
       "      <td>-0.057102</td>\n",
       "      <td>-0.190625</td>\n",
       "      <td>-0.434152</td>\n",
       "      <td>0.500987</td>\n",
       "      <td>-0.297744</td>\n",
       "      <td>-0.323590</td>\n",
       "      <td>-0.709842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>原料性质：芳烃</th>\n",
       "      <td>-0.060861</td>\n",
       "      <td>0.035479</td>\n",
       "      <td>0.081117</td>\n",
       "      <td>0.005614</td>\n",
       "      <td>-0.379168</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.263256</td>\n",
       "      <td>0.445307</td>\n",
       "      <td>-0.042174</td>\n",
       "      <td>0.049402</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.215023</td>\n",
       "      <td>-0.003212</td>\n",
       "      <td>-0.143799</td>\n",
       "      <td>-0.048608</td>\n",
       "      <td>0.120267</td>\n",
       "      <td>-0.183719</td>\n",
       "      <td>0.163279</td>\n",
       "      <td>-0.287457</td>\n",
       "      <td>-0.279512</td>\n",
       "      <td>0.143962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>原料性质：溴值</th>\n",
       "      <td>0.116712</td>\n",
       "      <td>-0.134371</td>\n",
       "      <td>-0.105743</td>\n",
       "      <td>0.074326</td>\n",
       "      <td>0.030349</td>\n",
       "      <td>-0.263256</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.234731</td>\n",
       "      <td>0.062738</td>\n",
       "      <td>0.159434</td>\n",
       "      <td>...</td>\n",
       "      <td>0.050633</td>\n",
       "      <td>0.061323</td>\n",
       "      <td>0.143270</td>\n",
       "      <td>0.017371</td>\n",
       "      <td>-0.097292</td>\n",
       "      <td>0.385083</td>\n",
       "      <td>-0.364387</td>\n",
       "      <td>0.474791</td>\n",
       "      <td>0.467246</td>\n",
       "      <td>0.028931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>原料性质：密度</th>\n",
       "      <td>-0.106693</td>\n",
       "      <td>0.191346</td>\n",
       "      <td>0.245771</td>\n",
       "      <td>-0.137826</td>\n",
       "      <td>-0.039253</td>\n",
       "      <td>0.445307</td>\n",
       "      <td>-0.234731</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.113899</td>\n",
       "      <td>0.032891</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.189786</td>\n",
       "      <td>-0.058483</td>\n",
       "      <td>-0.166103</td>\n",
       "      <td>-0.171367</td>\n",
       "      <td>0.108958</td>\n",
       "      <td>-0.172673</td>\n",
       "      <td>0.180867</td>\n",
       "      <td>-0.207373</td>\n",
       "      <td>-0.187535</td>\n",
       "      <td>0.120870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>待生吸附剂性质：焦炭</th>\n",
       "      <td>-0.159619</td>\n",
       "      <td>0.198535</td>\n",
       "      <td>0.005350</td>\n",
       "      <td>-0.194133</td>\n",
       "      <td>0.195710</td>\n",
       "      <td>-0.042174</td>\n",
       "      <td>0.062738</td>\n",
       "      <td>-0.113899</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.557547</td>\n",
       "      <td>...</td>\n",
       "      <td>0.450053</td>\n",
       "      <td>-0.182196</td>\n",
       "      <td>0.276521</td>\n",
       "      <td>0.117632</td>\n",
       "      <td>-0.230830</td>\n",
       "      <td>-0.410397</td>\n",
       "      <td>0.365317</td>\n",
       "      <td>-0.361608</td>\n",
       "      <td>-0.369279</td>\n",
       "      <td>-0.427778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>待生吸附剂性质：S</th>\n",
       "      <td>0.009276</td>\n",
       "      <td>0.026314</td>\n",
       "      <td>-0.023306</td>\n",
       "      <td>0.210229</td>\n",
       "      <td>-0.213384</td>\n",
       "      <td>0.049402</td>\n",
       "      <td>0.159434</td>\n",
       "      <td>0.032891</td>\n",
       "      <td>0.557547</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.131916</td>\n",
       "      <td>0.069466</td>\n",
       "      <td>-0.021695</td>\n",
       "      <td>0.045650</td>\n",
       "      <td>0.194194</td>\n",
       "      <td>0.114500</td>\n",
       "      <td>-0.166342</td>\n",
       "      <td>0.007328</td>\n",
       "      <td>0.019435</td>\n",
       "      <td>0.143274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>再生吸附剂性质：焦炭</th>\n",
       "      <td>-0.056726</td>\n",
       "      <td>0.287492</td>\n",
       "      <td>0.027478</td>\n",
       "      <td>-0.192574</td>\n",
       "      <td>0.213712</td>\n",
       "      <td>-0.094535</td>\n",
       "      <td>0.051425</td>\n",
       "      <td>-0.123247</td>\n",
       "      <td>0.810986</td>\n",
       "      <td>0.477352</td>\n",
       "      <td>...</td>\n",
       "      <td>0.390241</td>\n",
       "      <td>-0.055914</td>\n",
       "      <td>0.349855</td>\n",
       "      <td>0.167192</td>\n",
       "      <td>-0.087383</td>\n",
       "      <td>-0.340639</td>\n",
       "      <td>0.312280</td>\n",
       "      <td>-0.309387</td>\n",
       "      <td>-0.312795</td>\n",
       "      <td>-0.371024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>再生吸附剂性质：S</th>\n",
       "      <td>-0.058758</td>\n",
       "      <td>0.044039</td>\n",
       "      <td>-0.044266</td>\n",
       "      <td>0.161257</td>\n",
       "      <td>-0.169728</td>\n",
       "      <td>0.053936</td>\n",
       "      <td>0.053925</td>\n",
       "      <td>0.020604</td>\n",
       "      <td>0.568273</td>\n",
       "      <td>0.840415</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.063082</td>\n",
       "      <td>0.040400</td>\n",
       "      <td>0.036045</td>\n",
       "      <td>0.054634</td>\n",
       "      <td>0.152635</td>\n",
       "      <td>-0.023848</td>\n",
       "      <td>-0.029872</td>\n",
       "      <td>-0.132720</td>\n",
       "      <td>-0.125701</td>\n",
       "      <td>0.064536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.CAL_H2.PV</th>\n",
       "      <td>0.290174</td>\n",
       "      <td>-0.256940</td>\n",
       "      <td>-0.170350</td>\n",
       "      <td>0.455736</td>\n",
       "      <td>-0.444073</td>\n",
       "      <td>0.058433</td>\n",
       "      <td>0.075870</td>\n",
       "      <td>-0.022667</td>\n",
       "      <td>-0.351009</td>\n",
       "      <td>0.172378</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.649477</td>\n",
       "      <td>0.362721</td>\n",
       "      <td>-0.353392</td>\n",
       "      <td>-0.000736</td>\n",
       "      <td>0.475295</td>\n",
       "      <td>0.582640</td>\n",
       "      <td>-0.633739</td>\n",
       "      <td>0.453377</td>\n",
       "      <td>0.462502</td>\n",
       "      <td>0.596220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.PDI_2102.PV</th>\n",
       "      <td>0.256928</td>\n",
       "      <td>-0.380515</td>\n",
       "      <td>-0.062068</td>\n",
       "      <td>0.272274</td>\n",
       "      <td>-0.189383</td>\n",
       "      <td>-0.168546</td>\n",
       "      <td>0.400499</td>\n",
       "      <td>-0.126842</td>\n",
       "      <td>-0.386916</td>\n",
       "      <td>-0.062128</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.467475</td>\n",
       "      <td>0.183885</td>\n",
       "      <td>-0.251528</td>\n",
       "      <td>-0.081943</td>\n",
       "      <td>0.418100</td>\n",
       "      <td>0.780177</td>\n",
       "      <td>-0.671110</td>\n",
       "      <td>0.843559</td>\n",
       "      <td>0.830313</td>\n",
       "      <td>0.511908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.PT_2801.PV</th>\n",
       "      <td>0.014502</td>\n",
       "      <td>-0.120354</td>\n",
       "      <td>0.068075</td>\n",
       "      <td>-0.011731</td>\n",
       "      <td>0.041422</td>\n",
       "      <td>-0.080840</td>\n",
       "      <td>0.166664</td>\n",
       "      <td>-0.062734</td>\n",
       "      <td>-0.380651</td>\n",
       "      <td>-0.515410</td>\n",
       "      <td>...</td>\n",
       "      <td>0.080796</td>\n",
       "      <td>0.066760</td>\n",
       "      <td>-0.062597</td>\n",
       "      <td>0.032403</td>\n",
       "      <td>-0.180218</td>\n",
       "      <td>0.174917</td>\n",
       "      <td>-0.094183</td>\n",
       "      <td>0.272665</td>\n",
       "      <td>0.288332</td>\n",
       "      <td>0.046625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.FC_2801.PV</th>\n",
       "      <td>-0.248213</td>\n",
       "      <td>0.264028</td>\n",
       "      <td>0.104913</td>\n",
       "      <td>-0.598158</td>\n",
       "      <td>0.586309</td>\n",
       "      <td>-0.086627</td>\n",
       "      <td>-0.008218</td>\n",
       "      <td>-0.112091</td>\n",
       "      <td>0.505632</td>\n",
       "      <td>-0.007926</td>\n",
       "      <td>...</td>\n",
       "      <td>0.813007</td>\n",
       "      <td>-0.308095</td>\n",
       "      <td>0.484012</td>\n",
       "      <td>-0.066202</td>\n",
       "      <td>-0.424446</td>\n",
       "      <td>-0.725981</td>\n",
       "      <td>0.700421</td>\n",
       "      <td>-0.637004</td>\n",
       "      <td>-0.652671</td>\n",
       "      <td>-0.909893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.TE_2103.PV</th>\n",
       "      <td>0.126908</td>\n",
       "      <td>0.135845</td>\n",
       "      <td>0.084211</td>\n",
       "      <td>0.088466</td>\n",
       "      <td>-0.058996</td>\n",
       "      <td>-0.058306</td>\n",
       "      <td>0.051679</td>\n",
       "      <td>-0.148933</td>\n",
       "      <td>0.168406</td>\n",
       "      <td>0.061268</td>\n",
       "      <td>...</td>\n",
       "      <td>0.207994</td>\n",
       "      <td>0.206190</td>\n",
       "      <td>0.079245</td>\n",
       "      <td>0.954791</td>\n",
       "      <td>-0.153235</td>\n",
       "      <td>0.066454</td>\n",
       "      <td>-0.142141</td>\n",
       "      <td>0.016113</td>\n",
       "      <td>0.033304</td>\n",
       "      <td>0.024931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.TE_2005.PV</th>\n",
       "      <td>-0.002737</td>\n",
       "      <td>0.312274</td>\n",
       "      <td>0.187892</td>\n",
       "      <td>-0.196004</td>\n",
       "      <td>0.223076</td>\n",
       "      <td>-0.109082</td>\n",
       "      <td>0.067630</td>\n",
       "      <td>-0.113733</td>\n",
       "      <td>0.400145</td>\n",
       "      <td>0.076990</td>\n",
       "      <td>...</td>\n",
       "      <td>0.570885</td>\n",
       "      <td>-0.086513</td>\n",
       "      <td>0.357561</td>\n",
       "      <td>0.727394</td>\n",
       "      <td>-0.429594</td>\n",
       "      <td>-0.256324</td>\n",
       "      <td>0.169690</td>\n",
       "      <td>-0.220783</td>\n",
       "      <td>-0.209368</td>\n",
       "      <td>-0.409896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.PT_2101.PV</th>\n",
       "      <td>-0.065211</td>\n",
       "      <td>-0.025450</td>\n",
       "      <td>0.076429</td>\n",
       "      <td>-0.145929</td>\n",
       "      <td>0.141976</td>\n",
       "      <td>-0.017426</td>\n",
       "      <td>0.053163</td>\n",
       "      <td>-0.004796</td>\n",
       "      <td>-0.299644</td>\n",
       "      <td>-0.558282</td>\n",
       "      <td>...</td>\n",
       "      <td>0.201581</td>\n",
       "      <td>0.021061</td>\n",
       "      <td>-0.002930</td>\n",
       "      <td>-0.005297</td>\n",
       "      <td>-0.233866</td>\n",
       "      <td>-0.083764</td>\n",
       "      <td>0.162224</td>\n",
       "      <td>0.033644</td>\n",
       "      <td>0.049100</td>\n",
       "      <td>-0.127561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.PDT_2104.PV</th>\n",
       "      <td>0.319441</td>\n",
       "      <td>-0.407517</td>\n",
       "      <td>-0.072454</td>\n",
       "      <td>0.543070</td>\n",
       "      <td>-0.434190</td>\n",
       "      <td>-0.183668</td>\n",
       "      <td>0.385162</td>\n",
       "      <td>-0.172677</td>\n",
       "      <td>-0.410250</td>\n",
       "      <td>0.114766</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.610702</td>\n",
       "      <td>0.246083</td>\n",
       "      <td>-0.316777</td>\n",
       "      <td>0.086382</td>\n",
       "      <td>0.299033</td>\n",
       "      <td>0.999998</td>\n",
       "      <td>-0.973537</td>\n",
       "      <td>0.921056</td>\n",
       "      <td>0.920375</td>\n",
       "      <td>0.754624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.TE_2301.PV</th>\n",
       "      <td>0.226328</td>\n",
       "      <td>-0.371982</td>\n",
       "      <td>-0.110549</td>\n",
       "      <td>0.227954</td>\n",
       "      <td>-0.213622</td>\n",
       "      <td>0.005889</td>\n",
       "      <td>0.097603</td>\n",
       "      <td>0.029872</td>\n",
       "      <td>-0.431855</td>\n",
       "      <td>0.021777</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.721234</td>\n",
       "      <td>0.303545</td>\n",
       "      <td>-0.388776</td>\n",
       "      <td>-0.191455</td>\n",
       "      <td>0.630880</td>\n",
       "      <td>0.583149</td>\n",
       "      <td>-0.472179</td>\n",
       "      <td>0.534495</td>\n",
       "      <td>0.510579</td>\n",
       "      <td>0.521328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.PT_2301.PV</th>\n",
       "      <td>-0.066222</td>\n",
       "      <td>-0.024600</td>\n",
       "      <td>0.088541</td>\n",
       "      <td>-0.134136</td>\n",
       "      <td>0.134129</td>\n",
       "      <td>-0.025605</td>\n",
       "      <td>0.064838</td>\n",
       "      <td>-0.014682</td>\n",
       "      <td>-0.282358</td>\n",
       "      <td>-0.538072</td>\n",
       "      <td>...</td>\n",
       "      <td>0.223832</td>\n",
       "      <td>0.020357</td>\n",
       "      <td>0.005457</td>\n",
       "      <td>0.021514</td>\n",
       "      <td>-0.240427</td>\n",
       "      <td>-0.067387</td>\n",
       "      <td>0.140552</td>\n",
       "      <td>0.042381</td>\n",
       "      <td>0.059786</td>\n",
       "      <td>-0.124289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.PC_2105.PV</th>\n",
       "      <td>-0.187921</td>\n",
       "      <td>0.379833</td>\n",
       "      <td>0.206366</td>\n",
       "      <td>-0.585783</td>\n",
       "      <td>0.633687</td>\n",
       "      <td>-0.244059</td>\n",
       "      <td>0.095526</td>\n",
       "      <td>-0.180736</td>\n",
       "      <td>0.401778</td>\n",
       "      <td>-0.167997</td>\n",
       "      <td>...</td>\n",
       "      <td>0.975293</td>\n",
       "      <td>-0.304378</td>\n",
       "      <td>0.559952</td>\n",
       "      <td>0.113364</td>\n",
       "      <td>-0.467529</td>\n",
       "      <td>-0.575392</td>\n",
       "      <td>0.562068</td>\n",
       "      <td>-0.411825</td>\n",
       "      <td>-0.407758</td>\n",
       "      <td>-0.892263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.PC_5101.PV</th>\n",
       "      <td>0.098073</td>\n",
       "      <td>-0.110482</td>\n",
       "      <td>-0.034897</td>\n",
       "      <td>0.524796</td>\n",
       "      <td>-0.565742</td>\n",
       "      <td>0.213098</td>\n",
       "      <td>0.022496</td>\n",
       "      <td>0.086081</td>\n",
       "      <td>-0.135089</td>\n",
       "      <td>0.293445</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.434140</td>\n",
       "      <td>0.212788</td>\n",
       "      <td>-0.375876</td>\n",
       "      <td>0.263663</td>\n",
       "      <td>0.313723</td>\n",
       "      <td>0.451875</td>\n",
       "      <td>-0.500088</td>\n",
       "      <td>0.241332</td>\n",
       "      <td>0.265781</td>\n",
       "      <td>0.666017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.TC_5005.PV</th>\n",
       "      <td>0.029372</td>\n",
       "      <td>0.197142</td>\n",
       "      <td>0.216475</td>\n",
       "      <td>-0.356498</td>\n",
       "      <td>0.301228</td>\n",
       "      <td>0.075320</td>\n",
       "      <td>-0.152816</td>\n",
       "      <td>0.065032</td>\n",
       "      <td>0.052286</td>\n",
       "      <td>-0.108432</td>\n",
       "      <td>...</td>\n",
       "      <td>0.022726</td>\n",
       "      <td>-0.183403</td>\n",
       "      <td>0.017765</td>\n",
       "      <td>-0.149179</td>\n",
       "      <td>-0.053212</td>\n",
       "      <td>-0.215195</td>\n",
       "      <td>0.272485</td>\n",
       "      <td>-0.202680</td>\n",
       "      <td>-0.233632</td>\n",
       "      <td>-0.177598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.LC_5001.PV</th>\n",
       "      <td>0.295825</td>\n",
       "      <td>-0.291803</td>\n",
       "      <td>-0.172441</td>\n",
       "      <td>0.541292</td>\n",
       "      <td>-0.511034</td>\n",
       "      <td>0.025971</td>\n",
       "      <td>0.145228</td>\n",
       "      <td>0.022278</td>\n",
       "      <td>-0.399067</td>\n",
       "      <td>0.092093</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.711708</td>\n",
       "      <td>0.267970</td>\n",
       "      <td>-0.460580</td>\n",
       "      <td>-0.084773</td>\n",
       "      <td>0.437109</td>\n",
       "      <td>0.647939</td>\n",
       "      <td>-0.626003</td>\n",
       "      <td>0.566080</td>\n",
       "      <td>0.565605</td>\n",
       "      <td>0.687485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.LC_5101.PV</th>\n",
       "      <td>-0.337434</td>\n",
       "      <td>0.392836</td>\n",
       "      <td>0.184641</td>\n",
       "      <td>-0.549361</td>\n",
       "      <td>0.512030</td>\n",
       "      <td>-0.008469</td>\n",
       "      <td>-0.146729</td>\n",
       "      <td>-0.013929</td>\n",
       "      <td>0.486534</td>\n",
       "      <td>-0.133377</td>\n",
       "      <td>...</td>\n",
       "      <td>0.865421</td>\n",
       "      <td>-0.393896</td>\n",
       "      <td>0.459323</td>\n",
       "      <td>0.072198</td>\n",
       "      <td>-0.572201</td>\n",
       "      <td>-0.795529</td>\n",
       "      <td>0.756741</td>\n",
       "      <td>-0.693184</td>\n",
       "      <td>-0.693937</td>\n",
       "      <td>-0.807267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.TE_5102.PV</th>\n",
       "      <td>0.019820</td>\n",
       "      <td>-0.020160</td>\n",
       "      <td>-0.045803</td>\n",
       "      <td>-0.062696</td>\n",
       "      <td>0.002497</td>\n",
       "      <td>0.146918</td>\n",
       "      <td>0.050698</td>\n",
       "      <td>0.160071</td>\n",
       "      <td>0.019381</td>\n",
       "      <td>-0.012728</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001914</td>\n",
       "      <td>-0.352286</td>\n",
       "      <td>0.069153</td>\n",
       "      <td>-0.391563</td>\n",
       "      <td>-0.190299</td>\n",
       "      <td>-0.075541</td>\n",
       "      <td>0.102279</td>\n",
       "      <td>-0.003387</td>\n",
       "      <td>-0.004360</td>\n",
       "      <td>-0.070349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.TE_5202.PV</th>\n",
       "      <td>0.184374</td>\n",
       "      <td>-0.204423</td>\n",
       "      <td>-0.136974</td>\n",
       "      <td>0.156013</td>\n",
       "      <td>-0.168368</td>\n",
       "      <td>0.064048</td>\n",
       "      <td>0.200564</td>\n",
       "      <td>-0.055132</td>\n",
       "      <td>0.022766</td>\n",
       "      <td>0.187483</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.166220</td>\n",
       "      <td>0.002597</td>\n",
       "      <td>-0.007580</td>\n",
       "      <td>-0.196425</td>\n",
       "      <td>0.227974</td>\n",
       "      <td>0.154677</td>\n",
       "      <td>-0.125946</td>\n",
       "      <td>0.143510</td>\n",
       "      <td>0.141557</td>\n",
       "      <td>0.072918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.FT_5101.PV</th>\n",
       "      <td>-0.127394</td>\n",
       "      <td>0.083269</td>\n",
       "      <td>-0.064031</td>\n",
       "      <td>-0.355875</td>\n",
       "      <td>0.293398</td>\n",
       "      <td>0.097203</td>\n",
       "      <td>-0.080126</td>\n",
       "      <td>-0.060121</td>\n",
       "      <td>0.235629</td>\n",
       "      <td>-0.145086</td>\n",
       "      <td>...</td>\n",
       "      <td>0.312737</td>\n",
       "      <td>-0.060609</td>\n",
       "      <td>0.105943</td>\n",
       "      <td>-0.009866</td>\n",
       "      <td>-0.185679</td>\n",
       "      <td>-0.448594</td>\n",
       "      <td>0.482057</td>\n",
       "      <td>-0.393068</td>\n",
       "      <td>-0.421386</td>\n",
       "      <td>-0.414135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.PT_6008.DACA</th>\n",
       "      <td>-0.279068</td>\n",
       "      <td>0.051203</td>\n",
       "      <td>-0.099474</td>\n",
       "      <td>-0.363166</td>\n",
       "      <td>0.275171</td>\n",
       "      <td>0.164117</td>\n",
       "      <td>-0.206388</td>\n",
       "      <td>0.105194</td>\n",
       "      <td>0.172090</td>\n",
       "      <td>-0.116788</td>\n",
       "      <td>...</td>\n",
       "      <td>0.188448</td>\n",
       "      <td>-0.220311</td>\n",
       "      <td>0.104290</td>\n",
       "      <td>-0.244464</td>\n",
       "      <td>-0.238964</td>\n",
       "      <td>-0.510102</td>\n",
       "      <td>0.540819</td>\n",
       "      <td>-0.469161</td>\n",
       "      <td>-0.509244</td>\n",
       "      <td>-0.372159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.PT_1601.DACA</th>\n",
       "      <td>0.001708</td>\n",
       "      <td>-0.091000</td>\n",
       "      <td>0.089013</td>\n",
       "      <td>-0.090909</td>\n",
       "      <td>0.122621</td>\n",
       "      <td>-0.102105</td>\n",
       "      <td>0.186201</td>\n",
       "      <td>-0.067351</td>\n",
       "      <td>-0.328080</td>\n",
       "      <td>-0.506091</td>\n",
       "      <td>...</td>\n",
       "      <td>0.160820</td>\n",
       "      <td>0.028497</td>\n",
       "      <td>0.010044</td>\n",
       "      <td>0.017710</td>\n",
       "      <td>-0.181995</td>\n",
       "      <td>0.128782</td>\n",
       "      <td>-0.037685</td>\n",
       "      <td>0.249872</td>\n",
       "      <td>0.266000</td>\n",
       "      <td>-0.042579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.TE_1605.DACA</th>\n",
       "      <td>0.080833</td>\n",
       "      <td>-0.099935</td>\n",
       "      <td>0.000055</td>\n",
       "      <td>0.276442</td>\n",
       "      <td>-0.303796</td>\n",
       "      <td>0.129242</td>\n",
       "      <td>0.078145</td>\n",
       "      <td>0.134438</td>\n",
       "      <td>0.059297</td>\n",
       "      <td>0.227096</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.296145</td>\n",
       "      <td>0.059482</td>\n",
       "      <td>-0.054303</td>\n",
       "      <td>0.351142</td>\n",
       "      <td>0.044723</td>\n",
       "      <td>0.276181</td>\n",
       "      <td>-0.281829</td>\n",
       "      <td>0.248028</td>\n",
       "      <td>0.259112</td>\n",
       "      <td>0.315920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.SIS_FT_3202.PV</th>\n",
       "      <td>-0.190528</td>\n",
       "      <td>0.342117</td>\n",
       "      <td>0.223605</td>\n",
       "      <td>-0.412258</td>\n",
       "      <td>0.482311</td>\n",
       "      <td>-0.268339</td>\n",
       "      <td>0.063082</td>\n",
       "      <td>-0.241812</td>\n",
       "      <td>0.398881</td>\n",
       "      <td>-0.124290</td>\n",
       "      <td>...</td>\n",
       "      <td>0.833643</td>\n",
       "      <td>-0.282632</td>\n",
       "      <td>0.431514</td>\n",
       "      <td>0.266137</td>\n",
       "      <td>-0.527515</td>\n",
       "      <td>-0.369905</td>\n",
       "      <td>0.314090</td>\n",
       "      <td>-0.276795</td>\n",
       "      <td>-0.282573</td>\n",
       "      <td>-0.616525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.TXE_3202A.DACA</th>\n",
       "      <td>0.071187</td>\n",
       "      <td>-0.212563</td>\n",
       "      <td>-0.175248</td>\n",
       "      <td>0.158977</td>\n",
       "      <td>-0.258819</td>\n",
       "      <td>0.297477</td>\n",
       "      <td>-0.169676</td>\n",
       "      <td>0.275596</td>\n",
       "      <td>-0.252775</td>\n",
       "      <td>0.084542</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.561899</td>\n",
       "      <td>0.142991</td>\n",
       "      <td>-0.254276</td>\n",
       "      <td>-0.358565</td>\n",
       "      <td>0.392737</td>\n",
       "      <td>0.017728</td>\n",
       "      <td>0.035037</td>\n",
       "      <td>-0.031278</td>\n",
       "      <td>-0.027389</td>\n",
       "      <td>0.260091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.TXE_3201A.DACA</th>\n",
       "      <td>0.064777</td>\n",
       "      <td>-0.203992</td>\n",
       "      <td>-0.174182</td>\n",
       "      <td>0.137681</td>\n",
       "      <td>-0.236675</td>\n",
       "      <td>0.291037</td>\n",
       "      <td>-0.173288</td>\n",
       "      <td>0.269042</td>\n",
       "      <td>-0.237192</td>\n",
       "      <td>0.083598</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.537421</td>\n",
       "      <td>0.140901</td>\n",
       "      <td>-0.237624</td>\n",
       "      <td>-0.355535</td>\n",
       "      <td>0.384489</td>\n",
       "      <td>-0.004470</td>\n",
       "      <td>0.057588</td>\n",
       "      <td>-0.050313</td>\n",
       "      <td>-0.048256</td>\n",
       "      <td>0.228444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.TXE_2203A.DACA</th>\n",
       "      <td>0.246710</td>\n",
       "      <td>-0.417121</td>\n",
       "      <td>-0.202155</td>\n",
       "      <td>0.562601</td>\n",
       "      <td>-0.550388</td>\n",
       "      <td>0.078621</td>\n",
       "      <td>0.120567</td>\n",
       "      <td>0.042020</td>\n",
       "      <td>-0.360952</td>\n",
       "      <td>0.240776</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.908203</td>\n",
       "      <td>0.316306</td>\n",
       "      <td>-0.471844</td>\n",
       "      <td>-0.132174</td>\n",
       "      <td>0.546931</td>\n",
       "      <td>0.734082</td>\n",
       "      <td>-0.694409</td>\n",
       "      <td>0.616766</td>\n",
       "      <td>0.605555</td>\n",
       "      <td>0.813184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.TXE_2202A.DACA</th>\n",
       "      <td>0.246663</td>\n",
       "      <td>-0.417916</td>\n",
       "      <td>-0.203131</td>\n",
       "      <td>0.564921</td>\n",
       "      <td>-0.552358</td>\n",
       "      <td>0.078161</td>\n",
       "      <td>0.122379</td>\n",
       "      <td>0.039967</td>\n",
       "      <td>-0.360955</td>\n",
       "      <td>0.241510</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.907667</td>\n",
       "      <td>0.319213</td>\n",
       "      <td>-0.472180</td>\n",
       "      <td>-0.129215</td>\n",
       "      <td>0.546537</td>\n",
       "      <td>0.736415</td>\n",
       "      <td>-0.697035</td>\n",
       "      <td>0.618722</td>\n",
       "      <td>0.607631</td>\n",
       "      <td>0.814622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.TE_5008.DACA</th>\n",
       "      <td>0.112881</td>\n",
       "      <td>-0.414453</td>\n",
       "      <td>-0.349955</td>\n",
       "      <td>0.028401</td>\n",
       "      <td>-0.013100</td>\n",
       "      <td>-0.035171</td>\n",
       "      <td>0.057051</td>\n",
       "      <td>-0.112169</td>\n",
       "      <td>-0.108227</td>\n",
       "      <td>-0.073940</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.328491</td>\n",
       "      <td>-0.093925</td>\n",
       "      <td>-0.186741</td>\n",
       "      <td>-0.250978</td>\n",
       "      <td>0.002781</td>\n",
       "      <td>0.212110</td>\n",
       "      <td>-0.186727</td>\n",
       "      <td>0.255693</td>\n",
       "      <td>0.199596</td>\n",
       "      <td>0.200188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.TE_5009.DACA</th>\n",
       "      <td>-0.059440</td>\n",
       "      <td>0.075451</td>\n",
       "      <td>0.045614</td>\n",
       "      <td>-0.268672</td>\n",
       "      <td>0.159710</td>\n",
       "      <td>0.235826</td>\n",
       "      <td>-0.238551</td>\n",
       "      <td>0.341489</td>\n",
       "      <td>-0.040409</td>\n",
       "      <td>-0.116213</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.063540</td>\n",
       "      <td>-0.369520</td>\n",
       "      <td>0.023495</td>\n",
       "      <td>-0.495837</td>\n",
       "      <td>-0.010611</td>\n",
       "      <td>-0.325112</td>\n",
       "      <td>0.363307</td>\n",
       "      <td>-0.268553</td>\n",
       "      <td>-0.274267</td>\n",
       "      <td>-0.174507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.FC_5001.DACA</th>\n",
       "      <td>0.254738</td>\n",
       "      <td>-0.356277</td>\n",
       "      <td>-0.281103</td>\n",
       "      <td>0.173009</td>\n",
       "      <td>-0.149464</td>\n",
       "      <td>-0.029211</td>\n",
       "      <td>0.057862</td>\n",
       "      <td>-0.128106</td>\n",
       "      <td>-0.217346</td>\n",
       "      <td>0.022829</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.503351</td>\n",
       "      <td>0.086821</td>\n",
       "      <td>-0.260910</td>\n",
       "      <td>-0.125173</td>\n",
       "      <td>0.317807</td>\n",
       "      <td>0.417218</td>\n",
       "      <td>-0.386331</td>\n",
       "      <td>0.390948</td>\n",
       "      <td>0.351690</td>\n",
       "      <td>0.401379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.TE_1503.DACA</th>\n",
       "      <td>-0.113295</td>\n",
       "      <td>0.090888</td>\n",
       "      <td>-0.008115</td>\n",
       "      <td>-0.363367</td>\n",
       "      <td>0.263879</td>\n",
       "      <td>0.192066</td>\n",
       "      <td>-0.215154</td>\n",
       "      <td>0.346791</td>\n",
       "      <td>0.124133</td>\n",
       "      <td>-0.063500</td>\n",
       "      <td>...</td>\n",
       "      <td>0.097870</td>\n",
       "      <td>-0.433943</td>\n",
       "      <td>0.171045</td>\n",
       "      <td>-0.488620</td>\n",
       "      <td>-0.108991</td>\n",
       "      <td>-0.480915</td>\n",
       "      <td>0.525282</td>\n",
       "      <td>-0.366260</td>\n",
       "      <td>-0.380001</td>\n",
       "      <td>-0.350322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.AT-0001.DACA.PV</th>\n",
       "      <td>0.278055</td>\n",
       "      <td>-0.062828</td>\n",
       "      <td>0.027189</td>\n",
       "      <td>0.422780</td>\n",
       "      <td>-0.408642</td>\n",
       "      <td>0.044656</td>\n",
       "      <td>0.011571</td>\n",
       "      <td>0.196090</td>\n",
       "      <td>-0.340788</td>\n",
       "      <td>0.246825</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.638576</td>\n",
       "      <td>0.394363</td>\n",
       "      <td>-0.304798</td>\n",
       "      <td>-0.049201</td>\n",
       "      <td>0.648331</td>\n",
       "      <td>0.503968</td>\n",
       "      <td>-0.495795</td>\n",
       "      <td>0.379671</td>\n",
       "      <td>0.434673</td>\n",
       "      <td>0.598264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.AT-0002.DACA.PV</th>\n",
       "      <td>0.277239</td>\n",
       "      <td>-0.093691</td>\n",
       "      <td>-0.004324</td>\n",
       "      <td>0.462641</td>\n",
       "      <td>-0.457796</td>\n",
       "      <td>0.077683</td>\n",
       "      <td>-0.042235</td>\n",
       "      <td>0.168957</td>\n",
       "      <td>-0.370298</td>\n",
       "      <td>0.233364</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.694261</td>\n",
       "      <td>0.456667</td>\n",
       "      <td>-0.371610</td>\n",
       "      <td>0.002147</td>\n",
       "      <td>0.704470</td>\n",
       "      <td>0.514494</td>\n",
       "      <td>-0.511614</td>\n",
       "      <td>0.355515</td>\n",
       "      <td>0.403115</td>\n",
       "      <td>0.648740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.AT-0004.DACA.PV</th>\n",
       "      <td>-0.223251</td>\n",
       "      <td>0.428017</td>\n",
       "      <td>0.192132</td>\n",
       "      <td>-0.493308</td>\n",
       "      <td>0.520427</td>\n",
       "      <td>-0.170241</td>\n",
       "      <td>0.027772</td>\n",
       "      <td>-0.140736</td>\n",
       "      <td>0.438176</td>\n",
       "      <td>-0.084375</td>\n",
       "      <td>...</td>\n",
       "      <td>0.939043</td>\n",
       "      <td>-0.257905</td>\n",
       "      <td>0.517825</td>\n",
       "      <td>0.156158</td>\n",
       "      <td>-0.453900</td>\n",
       "      <td>-0.605596</td>\n",
       "      <td>0.564162</td>\n",
       "      <td>-0.489390</td>\n",
       "      <td>-0.472538</td>\n",
       "      <td>-0.816239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.AT-0005.DACA.PV</th>\n",
       "      <td>0.228708</td>\n",
       "      <td>-0.258684</td>\n",
       "      <td>-0.133651</td>\n",
       "      <td>0.522729</td>\n",
       "      <td>-0.489968</td>\n",
       "      <td>0.016636</td>\n",
       "      <td>0.071397</td>\n",
       "      <td>-0.018639</td>\n",
       "      <td>-0.445395</td>\n",
       "      <td>0.063506</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.766413</td>\n",
       "      <td>0.442698</td>\n",
       "      <td>-0.448934</td>\n",
       "      <td>0.099188</td>\n",
       "      <td>0.404337</td>\n",
       "      <td>0.691432</td>\n",
       "      <td>-0.678146</td>\n",
       "      <td>0.579359</td>\n",
       "      <td>0.582891</td>\n",
       "      <td>0.793258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.AT-0006.DACA.PV</th>\n",
       "      <td>-0.207521</td>\n",
       "      <td>0.440197</td>\n",
       "      <td>0.239218</td>\n",
       "      <td>-0.514958</td>\n",
       "      <td>0.560504</td>\n",
       "      <td>-0.224111</td>\n",
       "      <td>0.096911</td>\n",
       "      <td>-0.167108</td>\n",
       "      <td>0.429297</td>\n",
       "      <td>-0.092036</td>\n",
       "      <td>...</td>\n",
       "      <td>0.944631</td>\n",
       "      <td>-0.261607</td>\n",
       "      <td>0.536135</td>\n",
       "      <td>0.168036</td>\n",
       "      <td>-0.435480</td>\n",
       "      <td>-0.514056</td>\n",
       "      <td>0.493891</td>\n",
       "      <td>-0.375929</td>\n",
       "      <td>-0.367076</td>\n",
       "      <td>-0.804852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.AT-0007.DACA.PV</th>\n",
       "      <td>-0.216198</td>\n",
       "      <td>0.396901</td>\n",
       "      <td>0.201237</td>\n",
       "      <td>-0.567198</td>\n",
       "      <td>0.608366</td>\n",
       "      <td>-0.222168</td>\n",
       "      <td>0.046752</td>\n",
       "      <td>-0.180346</td>\n",
       "      <td>0.422947</td>\n",
       "      <td>-0.150279</td>\n",
       "      <td>...</td>\n",
       "      <td>0.980004</td>\n",
       "      <td>-0.272168</td>\n",
       "      <td>0.539238</td>\n",
       "      <td>0.143796</td>\n",
       "      <td>-0.464607</td>\n",
       "      <td>-0.611847</td>\n",
       "      <td>0.586364</td>\n",
       "      <td>-0.476163</td>\n",
       "      <td>-0.471567</td>\n",
       "      <td>-0.885867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.AT-0008.DACA.PV</th>\n",
       "      <td>-0.225066</td>\n",
       "      <td>0.391501</td>\n",
       "      <td>0.203665</td>\n",
       "      <td>-0.592816</td>\n",
       "      <td>0.623976</td>\n",
       "      <td>-0.200440</td>\n",
       "      <td>0.032157</td>\n",
       "      <td>-0.167806</td>\n",
       "      <td>0.431903</td>\n",
       "      <td>-0.165280</td>\n",
       "      <td>...</td>\n",
       "      <td>0.987001</td>\n",
       "      <td>-0.289985</td>\n",
       "      <td>0.544162</td>\n",
       "      <td>0.118559</td>\n",
       "      <td>-0.476347</td>\n",
       "      <td>-0.648906</td>\n",
       "      <td>0.625413</td>\n",
       "      <td>-0.507929</td>\n",
       "      <td>-0.505843</td>\n",
       "      <td>-0.909986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.AT-0009.DACA.PV</th>\n",
       "      <td>-0.216418</td>\n",
       "      <td>0.385029</td>\n",
       "      <td>0.191766</td>\n",
       "      <td>-0.590200</td>\n",
       "      <td>0.627840</td>\n",
       "      <td>-0.217229</td>\n",
       "      <td>0.041181</td>\n",
       "      <td>-0.179491</td>\n",
       "      <td>0.418914</td>\n",
       "      <td>-0.174696</td>\n",
       "      <td>...</td>\n",
       "      <td>0.981740</td>\n",
       "      <td>-0.247828</td>\n",
       "      <td>0.535024</td>\n",
       "      <td>0.142271</td>\n",
       "      <td>-0.445982</td>\n",
       "      <td>-0.635831</td>\n",
       "      <td>0.616247</td>\n",
       "      <td>-0.493487</td>\n",
       "      <td>-0.490738</td>\n",
       "      <td>-0.907715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.AT-0011.DACA.PV</th>\n",
       "      <td>-0.222649</td>\n",
       "      <td>0.386420</td>\n",
       "      <td>0.203056</td>\n",
       "      <td>-0.564335</td>\n",
       "      <td>0.603051</td>\n",
       "      <td>-0.215023</td>\n",
       "      <td>0.050633</td>\n",
       "      <td>-0.189786</td>\n",
       "      <td>0.450053</td>\n",
       "      <td>-0.131916</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.283570</td>\n",
       "      <td>0.540434</td>\n",
       "      <td>0.148910</td>\n",
       "      <td>-0.479326</td>\n",
       "      <td>-0.610542</td>\n",
       "      <td>0.583641</td>\n",
       "      <td>-0.475125</td>\n",
       "      <td>-0.472098</td>\n",
       "      <td>-0.879340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.FT_1204.DACA.PV</th>\n",
       "      <td>0.112742</td>\n",
       "      <td>0.085957</td>\n",
       "      <td>-0.066105</td>\n",
       "      <td>0.170968</td>\n",
       "      <td>-0.157034</td>\n",
       "      <td>-0.003212</td>\n",
       "      <td>0.061323</td>\n",
       "      <td>-0.058483</td>\n",
       "      <td>-0.182196</td>\n",
       "      <td>0.069466</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.283570</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.189847</td>\n",
       "      <td>0.312713</td>\n",
       "      <td>0.478703</td>\n",
       "      <td>0.245761</td>\n",
       "      <td>-0.224744</td>\n",
       "      <td>0.168405</td>\n",
       "      <td>0.196575</td>\n",
       "      <td>0.274305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.LC_5102.PIDA.PV</th>\n",
       "      <td>-0.042443</td>\n",
       "      <td>0.231091</td>\n",
       "      <td>0.029174</td>\n",
       "      <td>-0.256328</td>\n",
       "      <td>0.291415</td>\n",
       "      <td>-0.143799</td>\n",
       "      <td>0.143270</td>\n",
       "      <td>-0.166103</td>\n",
       "      <td>0.276521</td>\n",
       "      <td>-0.021695</td>\n",
       "      <td>...</td>\n",
       "      <td>0.540434</td>\n",
       "      <td>-0.189847</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.035736</td>\n",
       "      <td>-0.282714</td>\n",
       "      <td>-0.316777</td>\n",
       "      <td>0.307498</td>\n",
       "      <td>-0.200462</td>\n",
       "      <td>-0.200573</td>\n",
       "      <td>-0.545997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.TE_1102.DACA.PV</th>\n",
       "      <td>0.165268</td>\n",
       "      <td>0.128713</td>\n",
       "      <td>0.093289</td>\n",
       "      <td>0.082442</td>\n",
       "      <td>-0.057102</td>\n",
       "      <td>-0.048608</td>\n",
       "      <td>0.017371</td>\n",
       "      <td>-0.171367</td>\n",
       "      <td>0.117632</td>\n",
       "      <td>0.045650</td>\n",
       "      <td>...</td>\n",
       "      <td>0.148910</td>\n",
       "      <td>0.312713</td>\n",
       "      <td>0.035736</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.036528</td>\n",
       "      <td>0.086136</td>\n",
       "      <td>-0.137623</td>\n",
       "      <td>0.016203</td>\n",
       "      <td>0.033994</td>\n",
       "      <td>0.047872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.CAL.LINE.PV</th>\n",
       "      <td>0.123298</td>\n",
       "      <td>-0.035451</td>\n",
       "      <td>0.074542</td>\n",
       "      <td>0.156561</td>\n",
       "      <td>-0.190625</td>\n",
       "      <td>0.120267</td>\n",
       "      <td>-0.097292</td>\n",
       "      <td>0.108958</td>\n",
       "      <td>-0.230830</td>\n",
       "      <td>0.194194</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.479326</td>\n",
       "      <td>0.478703</td>\n",
       "      <td>-0.282714</td>\n",
       "      <td>0.036528</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.298718</td>\n",
       "      <td>-0.201145</td>\n",
       "      <td>0.149390</td>\n",
       "      <td>0.176236</td>\n",
       "      <td>0.388323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.CAL.CANGLIANG.PV</th>\n",
       "      <td>0.319542</td>\n",
       "      <td>-0.407507</td>\n",
       "      <td>-0.072345</td>\n",
       "      <td>0.543049</td>\n",
       "      <td>-0.434152</td>\n",
       "      <td>-0.183719</td>\n",
       "      <td>0.385083</td>\n",
       "      <td>-0.172673</td>\n",
       "      <td>-0.410397</td>\n",
       "      <td>0.114500</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.610542</td>\n",
       "      <td>0.245761</td>\n",
       "      <td>-0.316777</td>\n",
       "      <td>0.086136</td>\n",
       "      <td>0.298718</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.973582</td>\n",
       "      <td>0.921124</td>\n",
       "      <td>0.920444</td>\n",
       "      <td>0.754515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.CAL.SPEED.PV</th>\n",
       "      <td>-0.320362</td>\n",
       "      <td>0.386130</td>\n",
       "      <td>0.095342</td>\n",
       "      <td>-0.607070</td>\n",
       "      <td>0.500987</td>\n",
       "      <td>0.163279</td>\n",
       "      <td>-0.364387</td>\n",
       "      <td>0.180867</td>\n",
       "      <td>0.365317</td>\n",
       "      <td>-0.166342</td>\n",
       "      <td>...</td>\n",
       "      <td>0.583641</td>\n",
       "      <td>-0.224744</td>\n",
       "      <td>0.307498</td>\n",
       "      <td>-0.137623</td>\n",
       "      <td>-0.201145</td>\n",
       "      <td>-0.973582</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.872819</td>\n",
       "      <td>-0.877280</td>\n",
       "      <td>-0.764752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.FT_1503.TOTALIZERA.PV</th>\n",
       "      <td>0.301216</td>\n",
       "      <td>-0.411012</td>\n",
       "      <td>-0.134403</td>\n",
       "      <td>0.437689</td>\n",
       "      <td>-0.297744</td>\n",
       "      <td>-0.287457</td>\n",
       "      <td>0.474791</td>\n",
       "      <td>-0.207373</td>\n",
       "      <td>-0.361608</td>\n",
       "      <td>0.007328</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.475125</td>\n",
       "      <td>0.168405</td>\n",
       "      <td>-0.200462</td>\n",
       "      <td>0.016203</td>\n",
       "      <td>0.149390</td>\n",
       "      <td>0.921124</td>\n",
       "      <td>-0.872819</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.994639</td>\n",
       "      <td>0.621167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.FT_1504.TOTALIZERA.PV</th>\n",
       "      <td>0.306107</td>\n",
       "      <td>-0.384098</td>\n",
       "      <td>-0.124346</td>\n",
       "      <td>0.462358</td>\n",
       "      <td>-0.323590</td>\n",
       "      <td>-0.279512</td>\n",
       "      <td>0.467246</td>\n",
       "      <td>-0.187535</td>\n",
       "      <td>-0.369279</td>\n",
       "      <td>0.019435</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.472098</td>\n",
       "      <td>0.196575</td>\n",
       "      <td>-0.200573</td>\n",
       "      <td>0.033994</td>\n",
       "      <td>0.176236</td>\n",
       "      <td>0.920444</td>\n",
       "      <td>-0.877280</td>\n",
       "      <td>0.994639</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.636867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S-ZORB.PC_1001A.PV</th>\n",
       "      <td>0.230475</td>\n",
       "      <td>-0.369452</td>\n",
       "      <td>-0.165202</td>\n",
       "      <td>0.708511</td>\n",
       "      <td>-0.709842</td>\n",
       "      <td>0.143962</td>\n",
       "      <td>0.028931</td>\n",
       "      <td>0.120870</td>\n",
       "      <td>-0.427778</td>\n",
       "      <td>0.143274</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.879340</td>\n",
       "      <td>0.274305</td>\n",
       "      <td>-0.545997</td>\n",
       "      <td>0.047872</td>\n",
       "      <td>0.388323</td>\n",
       "      <td>0.754515</td>\n",
       "      <td>-0.764752</td>\n",
       "      <td>0.621167</td>\n",
       "      <td>0.636867</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>199 rows × 199 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 RON损失  原料性质：硫含量  原料性质：辛烷值  原料性质：饱和烃  \\\n",
       "RON损失                         1.000000 -0.154923 -0.036591  0.227861   \n",
       "原料性质：硫含量                     -0.154923  1.000000  0.475357 -0.439445   \n",
       "原料性质：辛烷值                     -0.036591  0.475357  1.000000 -0.428871   \n",
       "原料性质：饱和烃                      0.227861 -0.439445 -0.428871  1.000000   \n",
       "原料性质：烯烃                      -0.187659  0.393012  0.366152 -0.927412   \n",
       "原料性质：芳烃                      -0.060861  0.035479  0.081117  0.005614   \n",
       "原料性质：溴值                       0.116712 -0.134371 -0.105743  0.074326   \n",
       "原料性质：密度                      -0.106693  0.191346  0.245771 -0.137826   \n",
       "待生吸附剂性质：焦炭                   -0.159619  0.198535  0.005350 -0.194133   \n",
       "待生吸附剂性质：S                     0.009276  0.026314 -0.023306  0.210229   \n",
       "再生吸附剂性质：焦炭                   -0.056726  0.287492  0.027478 -0.192574   \n",
       "再生吸附剂性质：S                    -0.058758  0.044039 -0.044266  0.161257   \n",
       "S-ZORB.CAL_H2.PV              0.290174 -0.256940 -0.170350  0.455736   \n",
       "S-ZORB.PDI_2102.PV            0.256928 -0.380515 -0.062068  0.272274   \n",
       "S-ZORB.PT_2801.PV             0.014502 -0.120354  0.068075 -0.011731   \n",
       "S-ZORB.FC_2801.PV            -0.248213  0.264028  0.104913 -0.598158   \n",
       "S-ZORB.TE_2103.PV             0.126908  0.135845  0.084211  0.088466   \n",
       "S-ZORB.TE_2005.PV            -0.002737  0.312274  0.187892 -0.196004   \n",
       "S-ZORB.PT_2101.PV            -0.065211 -0.025450  0.076429 -0.145929   \n",
       "S-ZORB.PDT_2104.PV            0.319441 -0.407517 -0.072454  0.543070   \n",
       "S-ZORB.TE_2301.PV             0.226328 -0.371982 -0.110549  0.227954   \n",
       "S-ZORB.PT_2301.PV            -0.066222 -0.024600  0.088541 -0.134136   \n",
       "S-ZORB.PC_2105.PV            -0.187921  0.379833  0.206366 -0.585783   \n",
       "S-ZORB.PC_5101.PV             0.098073 -0.110482 -0.034897  0.524796   \n",
       "S-ZORB.TC_5005.PV             0.029372  0.197142  0.216475 -0.356498   \n",
       "S-ZORB.LC_5001.PV             0.295825 -0.291803 -0.172441  0.541292   \n",
       "S-ZORB.LC_5101.PV            -0.337434  0.392836  0.184641 -0.549361   \n",
       "S-ZORB.TE_5102.PV             0.019820 -0.020160 -0.045803 -0.062696   \n",
       "S-ZORB.TE_5202.PV             0.184374 -0.204423 -0.136974  0.156013   \n",
       "S-ZORB.FT_5101.PV            -0.127394  0.083269 -0.064031 -0.355875   \n",
       "...                                ...       ...       ...       ...   \n",
       "S-ZORB.PT_6008.DACA          -0.279068  0.051203 -0.099474 -0.363166   \n",
       "S-ZORB.PT_1601.DACA           0.001708 -0.091000  0.089013 -0.090909   \n",
       "S-ZORB.TE_1605.DACA           0.080833 -0.099935  0.000055  0.276442   \n",
       "S-ZORB.SIS_FT_3202.PV        -0.190528  0.342117  0.223605 -0.412258   \n",
       "S-ZORB.TXE_3202A.DACA         0.071187 -0.212563 -0.175248  0.158977   \n",
       "S-ZORB.TXE_3201A.DACA         0.064777 -0.203992 -0.174182  0.137681   \n",
       "S-ZORB.TXE_2203A.DACA         0.246710 -0.417121 -0.202155  0.562601   \n",
       "S-ZORB.TXE_2202A.DACA         0.246663 -0.417916 -0.203131  0.564921   \n",
       "S-ZORB.TE_5008.DACA           0.112881 -0.414453 -0.349955  0.028401   \n",
       "S-ZORB.TE_5009.DACA          -0.059440  0.075451  0.045614 -0.268672   \n",
       "S-ZORB.FC_5001.DACA           0.254738 -0.356277 -0.281103  0.173009   \n",
       "S-ZORB.TE_1503.DACA          -0.113295  0.090888 -0.008115 -0.363367   \n",
       "S-ZORB.AT-0001.DACA.PV        0.278055 -0.062828  0.027189  0.422780   \n",
       "S-ZORB.AT-0002.DACA.PV        0.277239 -0.093691 -0.004324  0.462641   \n",
       "S-ZORB.AT-0004.DACA.PV       -0.223251  0.428017  0.192132 -0.493308   \n",
       "S-ZORB.AT-0005.DACA.PV        0.228708 -0.258684 -0.133651  0.522729   \n",
       "S-ZORB.AT-0006.DACA.PV       -0.207521  0.440197  0.239218 -0.514958   \n",
       "S-ZORB.AT-0007.DACA.PV       -0.216198  0.396901  0.201237 -0.567198   \n",
       "S-ZORB.AT-0008.DACA.PV       -0.225066  0.391501  0.203665 -0.592816   \n",
       "S-ZORB.AT-0009.DACA.PV       -0.216418  0.385029  0.191766 -0.590200   \n",
       "S-ZORB.AT-0011.DACA.PV       -0.222649  0.386420  0.203056 -0.564335   \n",
       "S-ZORB.FT_1204.DACA.PV        0.112742  0.085957 -0.066105  0.170968   \n",
       "S-ZORB.LC_5102.PIDA.PV       -0.042443  0.231091  0.029174 -0.256328   \n",
       "S-ZORB.TE_1102.DACA.PV        0.165268  0.128713  0.093289  0.082442   \n",
       "S-ZORB.CAL.LINE.PV            0.123298 -0.035451  0.074542  0.156561   \n",
       "S-ZORB.CAL.CANGLIANG.PV       0.319542 -0.407507 -0.072345  0.543049   \n",
       "S-ZORB.CAL.SPEED.PV          -0.320362  0.386130  0.095342 -0.607070   \n",
       "S-ZORB.FT_1503.TOTALIZERA.PV  0.301216 -0.411012 -0.134403  0.437689   \n",
       "S-ZORB.FT_1504.TOTALIZERA.PV  0.306107 -0.384098 -0.124346  0.462358   \n",
       "S-ZORB.PC_1001A.PV            0.230475 -0.369452 -0.165202  0.708511   \n",
       "\n",
       "                               原料性质：烯烃   原料性质：芳烃   原料性质：溴值   原料性质：密度  \\\n",
       "RON损失                        -0.187659 -0.060861  0.116712 -0.106693   \n",
       "原料性质：硫含量                      0.393012  0.035479 -0.134371  0.191346   \n",
       "原料性质：辛烷值                      0.366152  0.081117 -0.105743  0.245771   \n",
       "原料性质：饱和烃                     -0.927412  0.005614  0.074326 -0.137826   \n",
       "原料性质：烯烃                       1.000000 -0.379168  0.030349 -0.039253   \n",
       "原料性质：芳烃                      -0.379168  1.000000 -0.263256  0.445307   \n",
       "原料性质：溴值                       0.030349 -0.263256  1.000000 -0.234731   \n",
       "原料性质：密度                      -0.039253  0.445307 -0.234731  1.000000   \n",
       "待生吸附剂性质：焦炭                    0.195710 -0.042174  0.062738 -0.113899   \n",
       "待生吸附剂性质：S                    -0.213384  0.049402  0.159434  0.032891   \n",
       "再生吸附剂性质：焦炭                    0.213712 -0.094535  0.051425 -0.123247   \n",
       "再生吸附剂性质：S                    -0.169728  0.053936  0.053925  0.020604   \n",
       "S-ZORB.CAL_H2.PV             -0.444073  0.058433  0.075870 -0.022667   \n",
       "S-ZORB.PDI_2102.PV           -0.189383 -0.168546  0.400499 -0.126842   \n",
       "S-ZORB.PT_2801.PV             0.041422 -0.080840  0.166664 -0.062734   \n",
       "S-ZORB.FC_2801.PV             0.586309 -0.086627 -0.008218 -0.112091   \n",
       "S-ZORB.TE_2103.PV            -0.058996 -0.058306  0.051679 -0.148933   \n",
       "S-ZORB.TE_2005.PV             0.223076 -0.109082  0.067630 -0.113733   \n",
       "S-ZORB.PT_2101.PV             0.141976 -0.017426  0.053163 -0.004796   \n",
       "S-ZORB.PDT_2104.PV           -0.434190 -0.183668  0.385162 -0.172677   \n",
       "S-ZORB.TE_2301.PV            -0.213622  0.005889  0.097603  0.029872   \n",
       "S-ZORB.PT_2301.PV             0.134129 -0.025605  0.064838 -0.014682   \n",
       "S-ZORB.PC_2105.PV             0.633687 -0.244059  0.095526 -0.180736   \n",
       "S-ZORB.PC_5101.PV            -0.565742  0.213098  0.022496  0.086081   \n",
       "S-ZORB.TC_5005.PV             0.301228  0.075320 -0.152816  0.065032   \n",
       "S-ZORB.LC_5001.PV            -0.511034  0.025971  0.145228  0.022278   \n",
       "S-ZORB.LC_5101.PV             0.512030 -0.008469 -0.146729 -0.013929   \n",
       "S-ZORB.TE_5102.PV             0.002497  0.146918  0.050698  0.160071   \n",
       "S-ZORB.TE_5202.PV            -0.168368  0.064048  0.200564 -0.055132   \n",
       "S-ZORB.FT_5101.PV             0.293398  0.097203 -0.080126 -0.060121   \n",
       "...                                ...       ...       ...       ...   \n",
       "S-ZORB.PT_6008.DACA           0.275171  0.164117 -0.206388  0.105194   \n",
       "S-ZORB.PT_1601.DACA           0.122621 -0.102105  0.186201 -0.067351   \n",
       "S-ZORB.TE_1605.DACA          -0.303796  0.129242  0.078145  0.134438   \n",
       "S-ZORB.SIS_FT_3202.PV         0.482311 -0.268339  0.063082 -0.241812   \n",
       "S-ZORB.TXE_3202A.DACA        -0.258819  0.297477 -0.169676  0.275596   \n",
       "S-ZORB.TXE_3201A.DACA        -0.236675  0.291037 -0.173288  0.269042   \n",
       "S-ZORB.TXE_2203A.DACA        -0.550388  0.078621  0.120567  0.042020   \n",
       "S-ZORB.TXE_2202A.DACA        -0.552358  0.078161  0.122379  0.039967   \n",
       "S-ZORB.TE_5008.DACA          -0.013100 -0.035171  0.057051 -0.112169   \n",
       "S-ZORB.TE_5009.DACA           0.159710  0.235826 -0.238551  0.341489   \n",
       "S-ZORB.FC_5001.DACA          -0.149464 -0.029211  0.057862 -0.128106   \n",
       "S-ZORB.TE_1503.DACA           0.263879  0.192066 -0.215154  0.346791   \n",
       "S-ZORB.AT-0001.DACA.PV       -0.408642  0.044656  0.011571  0.196090   \n",
       "S-ZORB.AT-0002.DACA.PV       -0.457796  0.077683 -0.042235  0.168957   \n",
       "S-ZORB.AT-0004.DACA.PV        0.520427 -0.170241  0.027772 -0.140736   \n",
       "S-ZORB.AT-0005.DACA.PV       -0.489968  0.016636  0.071397 -0.018639   \n",
       "S-ZORB.AT-0006.DACA.PV        0.560504 -0.224111  0.096911 -0.167108   \n",
       "S-ZORB.AT-0007.DACA.PV        0.608366 -0.222168  0.046752 -0.180346   \n",
       "S-ZORB.AT-0008.DACA.PV        0.623976 -0.200440  0.032157 -0.167806   \n",
       "S-ZORB.AT-0009.DACA.PV        0.627840 -0.217229  0.041181 -0.179491   \n",
       "S-ZORB.AT-0011.DACA.PV        0.603051 -0.215023  0.050633 -0.189786   \n",
       "S-ZORB.FT_1204.DACA.PV       -0.157034 -0.003212  0.061323 -0.058483   \n",
       "S-ZORB.LC_5102.PIDA.PV        0.291415 -0.143799  0.143270 -0.166103   \n",
       "S-ZORB.TE_1102.DACA.PV       -0.057102 -0.048608  0.017371 -0.171367   \n",
       "S-ZORB.CAL.LINE.PV           -0.190625  0.120267 -0.097292  0.108958   \n",
       "S-ZORB.CAL.CANGLIANG.PV      -0.434152 -0.183719  0.385083 -0.172673   \n",
       "S-ZORB.CAL.SPEED.PV           0.500987  0.163279 -0.364387  0.180867   \n",
       "S-ZORB.FT_1503.TOTALIZERA.PV -0.297744 -0.287457  0.474791 -0.207373   \n",
       "S-ZORB.FT_1504.TOTALIZERA.PV -0.323590 -0.279512  0.467246 -0.187535   \n",
       "S-ZORB.PC_1001A.PV           -0.709842  0.143962  0.028931  0.120870   \n",
       "\n",
       "                              待生吸附剂性质：焦炭  待生吸附剂性质：S  ...  \\\n",
       "RON损失                          -0.159619   0.009276  ...   \n",
       "原料性质：硫含量                        0.198535   0.026314  ...   \n",
       "原料性质：辛烷值                        0.005350  -0.023306  ...   \n",
       "原料性质：饱和烃                       -0.194133   0.210229  ...   \n",
       "原料性质：烯烃                         0.195710  -0.213384  ...   \n",
       "原料性质：芳烃                        -0.042174   0.049402  ...   \n",
       "原料性质：溴值                         0.062738   0.159434  ...   \n",
       "原料性质：密度                        -0.113899   0.032891  ...   \n",
       "待生吸附剂性质：焦炭                      1.000000   0.557547  ...   \n",
       "待生吸附剂性质：S                       0.557547   1.000000  ...   \n",
       "再生吸附剂性质：焦炭                      0.810986   0.477352  ...   \n",
       "再生吸附剂性质：S                       0.568273   0.840415  ...   \n",
       "S-ZORB.CAL_H2.PV               -0.351009   0.172378  ...   \n",
       "S-ZORB.PDI_2102.PV             -0.386916  -0.062128  ...   \n",
       "S-ZORB.PT_2801.PV              -0.380651  -0.515410  ...   \n",
       "S-ZORB.FC_2801.PV               0.505632  -0.007926  ...   \n",
       "S-ZORB.TE_2103.PV               0.168406   0.061268  ...   \n",
       "S-ZORB.TE_2005.PV               0.400145   0.076990  ...   \n",
       "S-ZORB.PT_2101.PV              -0.299644  -0.558282  ...   \n",
       "S-ZORB.PDT_2104.PV             -0.410250   0.114766  ...   \n",
       "S-ZORB.TE_2301.PV              -0.431855   0.021777  ...   \n",
       "S-ZORB.PT_2301.PV              -0.282358  -0.538072  ...   \n",
       "S-ZORB.PC_2105.PV               0.401778  -0.167997  ...   \n",
       "S-ZORB.PC_5101.PV              -0.135089   0.293445  ...   \n",
       "S-ZORB.TC_5005.PV               0.052286  -0.108432  ...   \n",
       "S-ZORB.LC_5001.PV              -0.399067   0.092093  ...   \n",
       "S-ZORB.LC_5101.PV               0.486534  -0.133377  ...   \n",
       "S-ZORB.TE_5102.PV               0.019381  -0.012728  ...   \n",
       "S-ZORB.TE_5202.PV               0.022766   0.187483  ...   \n",
       "S-ZORB.FT_5101.PV               0.235629  -0.145086  ...   \n",
       "...                                  ...        ...  ...   \n",
       "S-ZORB.PT_6008.DACA             0.172090  -0.116788  ...   \n",
       "S-ZORB.PT_1601.DACA            -0.328080  -0.506091  ...   \n",
       "S-ZORB.TE_1605.DACA             0.059297   0.227096  ...   \n",
       "S-ZORB.SIS_FT_3202.PV           0.398881  -0.124290  ...   \n",
       "S-ZORB.TXE_3202A.DACA          -0.252775   0.084542  ...   \n",
       "S-ZORB.TXE_3201A.DACA          -0.237192   0.083598  ...   \n",
       "S-ZORB.TXE_2203A.DACA          -0.360952   0.240776  ...   \n",
       "S-ZORB.TXE_2202A.DACA          -0.360955   0.241510  ...   \n",
       "S-ZORB.TE_5008.DACA            -0.108227  -0.073940  ...   \n",
       "S-ZORB.TE_5009.DACA            -0.040409  -0.116213  ...   \n",
       "S-ZORB.FC_5001.DACA            -0.217346   0.022829  ...   \n",
       "S-ZORB.TE_1503.DACA             0.124133  -0.063500  ...   \n",
       "S-ZORB.AT-0001.DACA.PV         -0.340788   0.246825  ...   \n",
       "S-ZORB.AT-0002.DACA.PV         -0.370298   0.233364  ...   \n",
       "S-ZORB.AT-0004.DACA.PV          0.438176  -0.084375  ...   \n",
       "S-ZORB.AT-0005.DACA.PV         -0.445395   0.063506  ...   \n",
       "S-ZORB.AT-0006.DACA.PV          0.429297  -0.092036  ...   \n",
       "S-ZORB.AT-0007.DACA.PV          0.422947  -0.150279  ...   \n",
       "S-ZORB.AT-0008.DACA.PV          0.431903  -0.165280  ...   \n",
       "S-ZORB.AT-0009.DACA.PV          0.418914  -0.174696  ...   \n",
       "S-ZORB.AT-0011.DACA.PV          0.450053  -0.131916  ...   \n",
       "S-ZORB.FT_1204.DACA.PV         -0.182196   0.069466  ...   \n",
       "S-ZORB.LC_5102.PIDA.PV          0.276521  -0.021695  ...   \n",
       "S-ZORB.TE_1102.DACA.PV          0.117632   0.045650  ...   \n",
       "S-ZORB.CAL.LINE.PV             -0.230830   0.194194  ...   \n",
       "S-ZORB.CAL.CANGLIANG.PV        -0.410397   0.114500  ...   \n",
       "S-ZORB.CAL.SPEED.PV             0.365317  -0.166342  ...   \n",
       "S-ZORB.FT_1503.TOTALIZERA.PV   -0.361608   0.007328  ...   \n",
       "S-ZORB.FT_1504.TOTALIZERA.PV   -0.369279   0.019435  ...   \n",
       "S-ZORB.PC_1001A.PV             -0.427778   0.143274  ...   \n",
       "\n",
       "                              S-ZORB.AT-0011.DACA.PV  S-ZORB.FT_1204.DACA.PV  \\\n",
       "RON损失                                      -0.222649                0.112742   \n",
       "原料性质：硫含量                                    0.386420                0.085957   \n",
       "原料性质：辛烷值                                    0.203056               -0.066105   \n",
       "原料性质：饱和烃                                   -0.564335                0.170968   \n",
       "原料性质：烯烃                                     0.603051               -0.157034   \n",
       "原料性质：芳烃                                    -0.215023               -0.003212   \n",
       "原料性质：溴值                                     0.050633                0.061323   \n",
       "原料性质：密度                                    -0.189786               -0.058483   \n",
       "待生吸附剂性质：焦炭                                  0.450053               -0.182196   \n",
       "待生吸附剂性质：S                                  -0.131916                0.069466   \n",
       "再生吸附剂性质：焦炭                                  0.390241               -0.055914   \n",
       "再生吸附剂性质：S                                  -0.063082                0.040400   \n",
       "S-ZORB.CAL_H2.PV                           -0.649477                0.362721   \n",
       "S-ZORB.PDI_2102.PV                         -0.467475                0.183885   \n",
       "S-ZORB.PT_2801.PV                           0.080796                0.066760   \n",
       "S-ZORB.FC_2801.PV                           0.813007               -0.308095   \n",
       "S-ZORB.TE_2103.PV                           0.207994                0.206190   \n",
       "S-ZORB.TE_2005.PV                           0.570885               -0.086513   \n",
       "S-ZORB.PT_2101.PV                           0.201581                0.021061   \n",
       "S-ZORB.PDT_2104.PV                         -0.610702                0.246083   \n",
       "S-ZORB.TE_2301.PV                          -0.721234                0.303545   \n",
       "S-ZORB.PT_2301.PV                           0.223832                0.020357   \n",
       "S-ZORB.PC_2105.PV                           0.975293               -0.304378   \n",
       "S-ZORB.PC_5101.PV                          -0.434140                0.212788   \n",
       "S-ZORB.TC_5005.PV                           0.022726               -0.183403   \n",
       "S-ZORB.LC_5001.PV                          -0.711708                0.267970   \n",
       "S-ZORB.LC_5101.PV                           0.865421               -0.393896   \n",
       "S-ZORB.TE_5102.PV                           0.001914               -0.352286   \n",
       "S-ZORB.TE_5202.PV                          -0.166220                0.002597   \n",
       "S-ZORB.FT_5101.PV                           0.312737               -0.060609   \n",
       "...                                              ...                     ...   \n",
       "S-ZORB.PT_6008.DACA                         0.188448               -0.220311   \n",
       "S-ZORB.PT_1601.DACA                         0.160820                0.028497   \n",
       "S-ZORB.TE_1605.DACA                        -0.296145                0.059482   \n",
       "S-ZORB.SIS_FT_3202.PV                       0.833643               -0.282632   \n",
       "S-ZORB.TXE_3202A.DACA                      -0.561899                0.142991   \n",
       "S-ZORB.TXE_3201A.DACA                      -0.537421                0.140901   \n",
       "S-ZORB.TXE_2203A.DACA                      -0.908203                0.316306   \n",
       "S-ZORB.TXE_2202A.DACA                      -0.907667                0.319213   \n",
       "S-ZORB.TE_5008.DACA                        -0.328491               -0.093925   \n",
       "S-ZORB.TE_5009.DACA                        -0.063540               -0.369520   \n",
       "S-ZORB.FC_5001.DACA                        -0.503351                0.086821   \n",
       "S-ZORB.TE_1503.DACA                         0.097870               -0.433943   \n",
       "S-ZORB.AT-0001.DACA.PV                     -0.638576                0.394363   \n",
       "S-ZORB.AT-0002.DACA.PV                     -0.694261                0.456667   \n",
       "S-ZORB.AT-0004.DACA.PV                      0.939043               -0.257905   \n",
       "S-ZORB.AT-0005.DACA.PV                     -0.766413                0.442698   \n",
       "S-ZORB.AT-0006.DACA.PV                      0.944631               -0.261607   \n",
       "S-ZORB.AT-0007.DACA.PV                      0.980004               -0.272168   \n",
       "S-ZORB.AT-0008.DACA.PV                      0.987001               -0.289985   \n",
       "S-ZORB.AT-0009.DACA.PV                      0.981740               -0.247828   \n",
       "S-ZORB.AT-0011.DACA.PV                      1.000000               -0.283570   \n",
       "S-ZORB.FT_1204.DACA.PV                     -0.283570                1.000000   \n",
       "S-ZORB.LC_5102.PIDA.PV                      0.540434               -0.189847   \n",
       "S-ZORB.TE_1102.DACA.PV                      0.148910                0.312713   \n",
       "S-ZORB.CAL.LINE.PV                         -0.479326                0.478703   \n",
       "S-ZORB.CAL.CANGLIANG.PV                    -0.610542                0.245761   \n",
       "S-ZORB.CAL.SPEED.PV                         0.583641               -0.224744   \n",
       "S-ZORB.FT_1503.TOTALIZERA.PV               -0.475125                0.168405   \n",
       "S-ZORB.FT_1504.TOTALIZERA.PV               -0.472098                0.196575   \n",
       "S-ZORB.PC_1001A.PV                         -0.879340                0.274305   \n",
       "\n",
       "                              S-ZORB.LC_5102.PIDA.PV  S-ZORB.TE_1102.DACA.PV  \\\n",
       "RON损失                                      -0.042443                0.165268   \n",
       "原料性质：硫含量                                    0.231091                0.128713   \n",
       "原料性质：辛烷值                                    0.029174                0.093289   \n",
       "原料性质：饱和烃                                   -0.256328                0.082442   \n",
       "原料性质：烯烃                                     0.291415               -0.057102   \n",
       "原料性质：芳烃                                    -0.143799               -0.048608   \n",
       "原料性质：溴值                                     0.143270                0.017371   \n",
       "原料性质：密度                                    -0.166103               -0.171367   \n",
       "待生吸附剂性质：焦炭                                  0.276521                0.117632   \n",
       "待生吸附剂性质：S                                  -0.021695                0.045650   \n",
       "再生吸附剂性质：焦炭                                  0.349855                0.167192   \n",
       "再生吸附剂性质：S                                   0.036045                0.054634   \n",
       "S-ZORB.CAL_H2.PV                           -0.353392               -0.000736   \n",
       "S-ZORB.PDI_2102.PV                         -0.251528               -0.081943   \n",
       "S-ZORB.PT_2801.PV                          -0.062597                0.032403   \n",
       "S-ZORB.FC_2801.PV                           0.484012               -0.066202   \n",
       "S-ZORB.TE_2103.PV                           0.079245                0.954791   \n",
       "S-ZORB.TE_2005.PV                           0.357561                0.727394   \n",
       "S-ZORB.PT_2101.PV                          -0.002930               -0.005297   \n",
       "S-ZORB.PDT_2104.PV                         -0.316777                0.086382   \n",
       "S-ZORB.TE_2301.PV                          -0.388776               -0.191455   \n",
       "S-ZORB.PT_2301.PV                           0.005457                0.021514   \n",
       "S-ZORB.PC_2105.PV                           0.559952                0.113364   \n",
       "S-ZORB.PC_5101.PV                          -0.375876                0.263663   \n",
       "S-ZORB.TC_5005.PV                           0.017765               -0.149179   \n",
       "S-ZORB.LC_5001.PV                          -0.460580               -0.084773   \n",
       "S-ZORB.LC_5101.PV                           0.459323                0.072198   \n",
       "S-ZORB.TE_5102.PV                           0.069153               -0.391563   \n",
       "S-ZORB.TE_5202.PV                          -0.007580               -0.196425   \n",
       "S-ZORB.FT_5101.PV                           0.105943               -0.009866   \n",
       "...                                              ...                     ...   \n",
       "S-ZORB.PT_6008.DACA                         0.104290               -0.244464   \n",
       "S-ZORB.PT_1601.DACA                         0.010044                0.017710   \n",
       "S-ZORB.TE_1605.DACA                        -0.054303                0.351142   \n",
       "S-ZORB.SIS_FT_3202.PV                       0.431514                0.266137   \n",
       "S-ZORB.TXE_3202A.DACA                      -0.254276               -0.358565   \n",
       "S-ZORB.TXE_3201A.DACA                      -0.237624               -0.355535   \n",
       "S-ZORB.TXE_2203A.DACA                      -0.471844               -0.132174   \n",
       "S-ZORB.TXE_2202A.DACA                      -0.472180               -0.129215   \n",
       "S-ZORB.TE_5008.DACA                        -0.186741               -0.250978   \n",
       "S-ZORB.TE_5009.DACA                         0.023495               -0.495837   \n",
       "S-ZORB.FC_5001.DACA                        -0.260910               -0.125173   \n",
       "S-ZORB.TE_1503.DACA                         0.171045               -0.488620   \n",
       "S-ZORB.AT-0001.DACA.PV                     -0.304798               -0.049201   \n",
       "S-ZORB.AT-0002.DACA.PV                     -0.371610                0.002147   \n",
       "S-ZORB.AT-0004.DACA.PV                      0.517825                0.156158   \n",
       "S-ZORB.AT-0005.DACA.PV                     -0.448934                0.099188   \n",
       "S-ZORB.AT-0006.DACA.PV                      0.536135                0.168036   \n",
       "S-ZORB.AT-0007.DACA.PV                      0.539238                0.143796   \n",
       "S-ZORB.AT-0008.DACA.PV                      0.544162                0.118559   \n",
       "S-ZORB.AT-0009.DACA.PV                      0.535024                0.142271   \n",
       "S-ZORB.AT-0011.DACA.PV                      0.540434                0.148910   \n",
       "S-ZORB.FT_1204.DACA.PV                     -0.189847                0.312713   \n",
       "S-ZORB.LC_5102.PIDA.PV                      1.000000                0.035736   \n",
       "S-ZORB.TE_1102.DACA.PV                      0.035736                1.000000   \n",
       "S-ZORB.CAL.LINE.PV                         -0.282714                0.036528   \n",
       "S-ZORB.CAL.CANGLIANG.PV                    -0.316777                0.086136   \n",
       "S-ZORB.CAL.SPEED.PV                         0.307498               -0.137623   \n",
       "S-ZORB.FT_1503.TOTALIZERA.PV               -0.200462                0.016203   \n",
       "S-ZORB.FT_1504.TOTALIZERA.PV               -0.200573                0.033994   \n",
       "S-ZORB.PC_1001A.PV                         -0.545997                0.047872   \n",
       "\n",
       "                              S-ZORB.CAL.LINE.PV  S-ZORB.CAL.CANGLIANG.PV  \\\n",
       "RON损失                                   0.123298                 0.319542   \n",
       "原料性质：硫含量                               -0.035451                -0.407507   \n",
       "原料性质：辛烷值                                0.074542                -0.072345   \n",
       "原料性质：饱和烃                                0.156561                 0.543049   \n",
       "原料性质：烯烃                                -0.190625                -0.434152   \n",
       "原料性质：芳烃                                 0.120267                -0.183719   \n",
       "原料性质：溴值                                -0.097292                 0.385083   \n",
       "原料性质：密度                                 0.108958                -0.172673   \n",
       "待生吸附剂性质：焦炭                             -0.230830                -0.410397   \n",
       "待生吸附剂性质：S                               0.194194                 0.114500   \n",
       "再生吸附剂性质：焦炭                             -0.087383                -0.340639   \n",
       "再生吸附剂性质：S                               0.152635                -0.023848   \n",
       "S-ZORB.CAL_H2.PV                        0.475295                 0.582640   \n",
       "S-ZORB.PDI_2102.PV                      0.418100                 0.780177   \n",
       "S-ZORB.PT_2801.PV                      -0.180218                 0.174917   \n",
       "S-ZORB.FC_2801.PV                      -0.424446                -0.725981   \n",
       "S-ZORB.TE_2103.PV                      -0.153235                 0.066454   \n",
       "S-ZORB.TE_2005.PV                      -0.429594                -0.256324   \n",
       "S-ZORB.PT_2101.PV                      -0.233866                -0.083764   \n",
       "S-ZORB.PDT_2104.PV                      0.299033                 0.999998   \n",
       "S-ZORB.TE_2301.PV                       0.630880                 0.583149   \n",
       "S-ZORB.PT_2301.PV                      -0.240427                -0.067387   \n",
       "S-ZORB.PC_2105.PV                      -0.467529                -0.575392   \n",
       "S-ZORB.PC_5101.PV                       0.313723                 0.451875   \n",
       "S-ZORB.TC_5005.PV                      -0.053212                -0.215195   \n",
       "S-ZORB.LC_5001.PV                       0.437109                 0.647939   \n",
       "S-ZORB.LC_5101.PV                      -0.572201                -0.795529   \n",
       "S-ZORB.TE_5102.PV                      -0.190299                -0.075541   \n",
       "S-ZORB.TE_5202.PV                       0.227974                 0.154677   \n",
       "S-ZORB.FT_5101.PV                      -0.185679                -0.448594   \n",
       "...                                          ...                      ...   \n",
       "S-ZORB.PT_6008.DACA                    -0.238964                -0.510102   \n",
       "S-ZORB.PT_1601.DACA                    -0.181995                 0.128782   \n",
       "S-ZORB.TE_1605.DACA                     0.044723                 0.276181   \n",
       "S-ZORB.SIS_FT_3202.PV                  -0.527515                -0.369905   \n",
       "S-ZORB.TXE_3202A.DACA                   0.392737                 0.017728   \n",
       "S-ZORB.TXE_3201A.DACA                   0.384489                -0.004470   \n",
       "S-ZORB.TXE_2203A.DACA                   0.546931                 0.734082   \n",
       "S-ZORB.TXE_2202A.DACA                   0.546537                 0.736415   \n",
       "S-ZORB.TE_5008.DACA                     0.002781                 0.212110   \n",
       "S-ZORB.TE_5009.DACA                    -0.010611                -0.325112   \n",
       "S-ZORB.FC_5001.DACA                     0.317807                 0.417218   \n",
       "S-ZORB.TE_1503.DACA                    -0.108991                -0.480915   \n",
       "S-ZORB.AT-0001.DACA.PV                  0.648331                 0.503968   \n",
       "S-ZORB.AT-0002.DACA.PV                  0.704470                 0.514494   \n",
       "S-ZORB.AT-0004.DACA.PV                 -0.453900                -0.605596   \n",
       "S-ZORB.AT-0005.DACA.PV                  0.404337                 0.691432   \n",
       "S-ZORB.AT-0006.DACA.PV                 -0.435480                -0.514056   \n",
       "S-ZORB.AT-0007.DACA.PV                 -0.464607                -0.611847   \n",
       "S-ZORB.AT-0008.DACA.PV                 -0.476347                -0.648906   \n",
       "S-ZORB.AT-0009.DACA.PV                 -0.445982                -0.635831   \n",
       "S-ZORB.AT-0011.DACA.PV                 -0.479326                -0.610542   \n",
       "S-ZORB.FT_1204.DACA.PV                  0.478703                 0.245761   \n",
       "S-ZORB.LC_5102.PIDA.PV                 -0.282714                -0.316777   \n",
       "S-ZORB.TE_1102.DACA.PV                  0.036528                 0.086136   \n",
       "S-ZORB.CAL.LINE.PV                      1.000000                 0.298718   \n",
       "S-ZORB.CAL.CANGLIANG.PV                 0.298718                 1.000000   \n",
       "S-ZORB.CAL.SPEED.PV                    -0.201145                -0.973582   \n",
       "S-ZORB.FT_1503.TOTALIZERA.PV            0.149390                 0.921124   \n",
       "S-ZORB.FT_1504.TOTALIZERA.PV            0.176236                 0.920444   \n",
       "S-ZORB.PC_1001A.PV                      0.388323                 0.754515   \n",
       "\n",
       "                              S-ZORB.CAL.SPEED.PV  \\\n",
       "RON损失                                   -0.320362   \n",
       "原料性质：硫含量                                 0.386130   \n",
       "原料性质：辛烷值                                 0.095342   \n",
       "原料性质：饱和烃                                -0.607070   \n",
       "原料性质：烯烃                                  0.500987   \n",
       "原料性质：芳烃                                  0.163279   \n",
       "原料性质：溴值                                 -0.364387   \n",
       "原料性质：密度                                  0.180867   \n",
       "待生吸附剂性质：焦炭                               0.365317   \n",
       "待生吸附剂性质：S                               -0.166342   \n",
       "再生吸附剂性质：焦炭                               0.312280   \n",
       "再生吸附剂性质：S                               -0.029872   \n",
       "S-ZORB.CAL_H2.PV                        -0.633739   \n",
       "S-ZORB.PDI_2102.PV                      -0.671110   \n",
       "S-ZORB.PT_2801.PV                       -0.094183   \n",
       "S-ZORB.FC_2801.PV                        0.700421   \n",
       "S-ZORB.TE_2103.PV                       -0.142141   \n",
       "S-ZORB.TE_2005.PV                        0.169690   \n",
       "S-ZORB.PT_2101.PV                        0.162224   \n",
       "S-ZORB.PDT_2104.PV                      -0.973537   \n",
       "S-ZORB.TE_2301.PV                       -0.472179   \n",
       "S-ZORB.PT_2301.PV                        0.140552   \n",
       "S-ZORB.PC_2105.PV                        0.562068   \n",
       "S-ZORB.PC_5101.PV                       -0.500088   \n",
       "S-ZORB.TC_5005.PV                        0.272485   \n",
       "S-ZORB.LC_5001.PV                       -0.626003   \n",
       "S-ZORB.LC_5101.PV                        0.756741   \n",
       "S-ZORB.TE_5102.PV                        0.102279   \n",
       "S-ZORB.TE_5202.PV                       -0.125946   \n",
       "S-ZORB.FT_5101.PV                        0.482057   \n",
       "...                                           ...   \n",
       "S-ZORB.PT_6008.DACA                      0.540819   \n",
       "S-ZORB.PT_1601.DACA                     -0.037685   \n",
       "S-ZORB.TE_1605.DACA                     -0.281829   \n",
       "S-ZORB.SIS_FT_3202.PV                    0.314090   \n",
       "S-ZORB.TXE_3202A.DACA                    0.035037   \n",
       "S-ZORB.TXE_3201A.DACA                    0.057588   \n",
       "S-ZORB.TXE_2203A.DACA                   -0.694409   \n",
       "S-ZORB.TXE_2202A.DACA                   -0.697035   \n",
       "S-ZORB.TE_5008.DACA                     -0.186727   \n",
       "S-ZORB.TE_5009.DACA                      0.363307   \n",
       "S-ZORB.FC_5001.DACA                     -0.386331   \n",
       "S-ZORB.TE_1503.DACA                      0.525282   \n",
       "S-ZORB.AT-0001.DACA.PV                  -0.495795   \n",
       "S-ZORB.AT-0002.DACA.PV                  -0.511614   \n",
       "S-ZORB.AT-0004.DACA.PV                   0.564162   \n",
       "S-ZORB.AT-0005.DACA.PV                  -0.678146   \n",
       "S-ZORB.AT-0006.DACA.PV                   0.493891   \n",
       "S-ZORB.AT-0007.DACA.PV                   0.586364   \n",
       "S-ZORB.AT-0008.DACA.PV                   0.625413   \n",
       "S-ZORB.AT-0009.DACA.PV                   0.616247   \n",
       "S-ZORB.AT-0011.DACA.PV                   0.583641   \n",
       "S-ZORB.FT_1204.DACA.PV                  -0.224744   \n",
       "S-ZORB.LC_5102.PIDA.PV                   0.307498   \n",
       "S-ZORB.TE_1102.DACA.PV                  -0.137623   \n",
       "S-ZORB.CAL.LINE.PV                      -0.201145   \n",
       "S-ZORB.CAL.CANGLIANG.PV                 -0.973582   \n",
       "S-ZORB.CAL.SPEED.PV                      1.000000   \n",
       "S-ZORB.FT_1503.TOTALIZERA.PV            -0.872819   \n",
       "S-ZORB.FT_1504.TOTALIZERA.PV            -0.877280   \n",
       "S-ZORB.PC_1001A.PV                      -0.764752   \n",
       "\n",
       "                              S-ZORB.FT_1503.TOTALIZERA.PV  \\\n",
       "RON损失                                             0.301216   \n",
       "原料性质：硫含量                                         -0.411012   \n",
       "原料性质：辛烷值                                         -0.134403   \n",
       "原料性质：饱和烃                                          0.437689   \n",
       "原料性质：烯烃                                          -0.297744   \n",
       "原料性质：芳烃                                          -0.287457   \n",
       "原料性质：溴值                                           0.474791   \n",
       "原料性质：密度                                          -0.207373   \n",
       "待生吸附剂性质：焦炭                                       -0.361608   \n",
       "待生吸附剂性质：S                                         0.007328   \n",
       "再生吸附剂性质：焦炭                                       -0.309387   \n",
       "再生吸附剂性质：S                                        -0.132720   \n",
       "S-ZORB.CAL_H2.PV                                  0.453377   \n",
       "S-ZORB.PDI_2102.PV                                0.843559   \n",
       "S-ZORB.PT_2801.PV                                 0.272665   \n",
       "S-ZORB.FC_2801.PV                                -0.637004   \n",
       "S-ZORB.TE_2103.PV                                 0.016113   \n",
       "S-ZORB.TE_2005.PV                                -0.220783   \n",
       "S-ZORB.PT_2101.PV                                 0.033644   \n",
       "S-ZORB.PDT_2104.PV                                0.921056   \n",
       "S-ZORB.TE_2301.PV                                 0.534495   \n",
       "S-ZORB.PT_2301.PV                                 0.042381   \n",
       "S-ZORB.PC_2105.PV                                -0.411825   \n",
       "S-ZORB.PC_5101.PV                                 0.241332   \n",
       "S-ZORB.TC_5005.PV                                -0.202680   \n",
       "S-ZORB.LC_5001.PV                                 0.566080   \n",
       "S-ZORB.LC_5101.PV                                -0.693184   \n",
       "S-ZORB.TE_5102.PV                                -0.003387   \n",
       "S-ZORB.TE_5202.PV                                 0.143510   \n",
       "S-ZORB.FT_5101.PV                                -0.393068   \n",
       "...                                                    ...   \n",
       "S-ZORB.PT_6008.DACA                              -0.469161   \n",
       "S-ZORB.PT_1601.DACA                               0.249872   \n",
       "S-ZORB.TE_1605.DACA                               0.248028   \n",
       "S-ZORB.SIS_FT_3202.PV                            -0.276795   \n",
       "S-ZORB.TXE_3202A.DACA                            -0.031278   \n",
       "S-ZORB.TXE_3201A.DACA                            -0.050313   \n",
       "S-ZORB.TXE_2203A.DACA                             0.616766   \n",
       "S-ZORB.TXE_2202A.DACA                             0.618722   \n",
       "S-ZORB.TE_5008.DACA                               0.255693   \n",
       "S-ZORB.TE_5009.DACA                              -0.268553   \n",
       "S-ZORB.FC_5001.DACA                               0.390948   \n",
       "S-ZORB.TE_1503.DACA                              -0.366260   \n",
       "S-ZORB.AT-0001.DACA.PV                            0.379671   \n",
       "S-ZORB.AT-0002.DACA.PV                            0.355515   \n",
       "S-ZORB.AT-0004.DACA.PV                           -0.489390   \n",
       "S-ZORB.AT-0005.DACA.PV                            0.579359   \n",
       "S-ZORB.AT-0006.DACA.PV                           -0.375929   \n",
       "S-ZORB.AT-0007.DACA.PV                           -0.476163   \n",
       "S-ZORB.AT-0008.DACA.PV                           -0.507929   \n",
       "S-ZORB.AT-0009.DACA.PV                           -0.493487   \n",
       "S-ZORB.AT-0011.DACA.PV                           -0.475125   \n",
       "S-ZORB.FT_1204.DACA.PV                            0.168405   \n",
       "S-ZORB.LC_5102.PIDA.PV                           -0.200462   \n",
       "S-ZORB.TE_1102.DACA.PV                            0.016203   \n",
       "S-ZORB.CAL.LINE.PV                                0.149390   \n",
       "S-ZORB.CAL.CANGLIANG.PV                           0.921124   \n",
       "S-ZORB.CAL.SPEED.PV                              -0.872819   \n",
       "S-ZORB.FT_1503.TOTALIZERA.PV                      1.000000   \n",
       "S-ZORB.FT_1504.TOTALIZERA.PV                      0.994639   \n",
       "S-ZORB.PC_1001A.PV                                0.621167   \n",
       "\n",
       "                              S-ZORB.FT_1504.TOTALIZERA.PV  S-ZORB.PC_1001A.PV  \n",
       "RON损失                                             0.306107            0.230475  \n",
       "原料性质：硫含量                                         -0.384098           -0.369452  \n",
       "原料性质：辛烷值                                         -0.124346           -0.165202  \n",
       "原料性质：饱和烃                                          0.462358            0.708511  \n",
       "原料性质：烯烃                                          -0.323590           -0.709842  \n",
       "原料性质：芳烃                                          -0.279512            0.143962  \n",
       "原料性质：溴值                                           0.467246            0.028931  \n",
       "原料性质：密度                                          -0.187535            0.120870  \n",
       "待生吸附剂性质：焦炭                                       -0.369279           -0.427778  \n",
       "待生吸附剂性质：S                                         0.019435            0.143274  \n",
       "再生吸附剂性质：焦炭                                       -0.312795           -0.371024  \n",
       "再生吸附剂性质：S                                        -0.125701            0.064536  \n",
       "S-ZORB.CAL_H2.PV                                  0.462502            0.596220  \n",
       "S-ZORB.PDI_2102.PV                                0.830313            0.511908  \n",
       "S-ZORB.PT_2801.PV                                 0.288332            0.046625  \n",
       "S-ZORB.FC_2801.PV                                -0.652671           -0.909893  \n",
       "S-ZORB.TE_2103.PV                                 0.033304            0.024931  \n",
       "S-ZORB.TE_2005.PV                                -0.209368           -0.409896  \n",
       "S-ZORB.PT_2101.PV                                 0.049100           -0.127561  \n",
       "S-ZORB.PDT_2104.PV                                0.920375            0.754624  \n",
       "S-ZORB.TE_2301.PV                                 0.510579            0.521328  \n",
       "S-ZORB.PT_2301.PV                                 0.059786           -0.124289  \n",
       "S-ZORB.PC_2105.PV                                -0.407758           -0.892263  \n",
       "S-ZORB.PC_5101.PV                                 0.265781            0.666017  \n",
       "S-ZORB.TC_5005.PV                                -0.233632           -0.177598  \n",
       "S-ZORB.LC_5001.PV                                 0.565605            0.687485  \n",
       "S-ZORB.LC_5101.PV                                -0.693937           -0.807267  \n",
       "S-ZORB.TE_5102.PV                                -0.004360           -0.070349  \n",
       "S-ZORB.TE_5202.PV                                 0.141557            0.072918  \n",
       "S-ZORB.FT_5101.PV                                -0.421386           -0.414135  \n",
       "...                                                    ...                 ...  \n",
       "S-ZORB.PT_6008.DACA                              -0.509244           -0.372159  \n",
       "S-ZORB.PT_1601.DACA                               0.266000           -0.042579  \n",
       "S-ZORB.TE_1605.DACA                               0.259112            0.315920  \n",
       "S-ZORB.SIS_FT_3202.PV                            -0.282573           -0.616525  \n",
       "S-ZORB.TXE_3202A.DACA                            -0.027389            0.260091  \n",
       "S-ZORB.TXE_3201A.DACA                            -0.048256            0.228444  \n",
       "S-ZORB.TXE_2203A.DACA                             0.605555            0.813184  \n",
       "S-ZORB.TXE_2202A.DACA                             0.607631            0.814622  \n",
       "S-ZORB.TE_5008.DACA                               0.199596            0.200188  \n",
       "S-ZORB.TE_5009.DACA                              -0.274267           -0.174507  \n",
       "S-ZORB.FC_5001.DACA                               0.351690            0.401379  \n",
       "S-ZORB.TE_1503.DACA                              -0.380001           -0.350322  \n",
       "S-ZORB.AT-0001.DACA.PV                            0.434673            0.598264  \n",
       "S-ZORB.AT-0002.DACA.PV                            0.403115            0.648740  \n",
       "S-ZORB.AT-0004.DACA.PV                           -0.472538           -0.816239  \n",
       "S-ZORB.AT-0005.DACA.PV                            0.582891            0.793258  \n",
       "S-ZORB.AT-0006.DACA.PV                           -0.367076           -0.804852  \n",
       "S-ZORB.AT-0007.DACA.PV                           -0.471567           -0.885867  \n",
       "S-ZORB.AT-0008.DACA.PV                           -0.505843           -0.909986  \n",
       "S-ZORB.AT-0009.DACA.PV                           -0.490738           -0.907715  \n",
       "S-ZORB.AT-0011.DACA.PV                           -0.472098           -0.879340  \n",
       "S-ZORB.FT_1204.DACA.PV                            0.196575            0.274305  \n",
       "S-ZORB.LC_5102.PIDA.PV                           -0.200573           -0.545997  \n",
       "S-ZORB.TE_1102.DACA.PV                            0.033994            0.047872  \n",
       "S-ZORB.CAL.LINE.PV                                0.176236            0.388323  \n",
       "S-ZORB.CAL.CANGLIANG.PV                           0.920444            0.754515  \n",
       "S-ZORB.CAL.SPEED.PV                              -0.877280           -0.764752  \n",
       "S-ZORB.FT_1503.TOTALIZERA.PV                      0.994639            0.621167  \n",
       "S-ZORB.FT_1504.TOTALIZERA.PV                      1.000000            0.636867  \n",
       "S-ZORB.PC_1001A.PV                                0.636867            1.000000  \n",
       "\n",
       "[199 rows x 199 columns]"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_325_corr = data_325.corr()\n",
    "data_325_corr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'RON损失': 1.0,\n",
       " '原料性质：硫含量': -0.15492341987801606,\n",
       " '原料性质：辛烷值': -0.03659090253178292,\n",
       " '原料性质：饱和烃': 0.22786101194372982,\n",
       " '原料性质：烯烃': -0.18765934537045034,\n",
       " '原料性质：芳烃': -0.0608612182274977,\n",
       " '原料性质：溴值': 0.11671199874766362,\n",
       " '原料性质：密度': -0.10669343144138563,\n",
       " '待生吸附剂性质：焦炭': -0.15961888365506713,\n",
       " '待生吸附剂性质：S': 0.00927577410859538,\n",
       " '再生吸附剂性质：焦炭': -0.05672641807456995,\n",
       " '再生吸附剂性质：S': -0.05875790400741909,\n",
       " 'S-ZORB.CAL_H2.PV': 0.2901741749774067,\n",
       " 'S-ZORB.PDI_2102.PV': 0.25692784609321867,\n",
       " 'S-ZORB.PT_2801.PV': 0.014502299816070199,\n",
       " 'S-ZORB.FC_2801.PV': -0.24821297310380552,\n",
       " 'S-ZORB.TE_2103.PV': 0.1269082701573267,\n",
       " 'S-ZORB.TE_2005.PV': -0.0027367705819765996,\n",
       " 'S-ZORB.PT_2101.PV': -0.06521102562351905,\n",
       " 'S-ZORB.PDT_2104.PV': 0.3194412459848149,\n",
       " 'S-ZORB.TE_2301.PV': 0.22632756730113604,\n",
       " 'S-ZORB.PT_2301.PV': -0.06622225030936965,\n",
       " 'S-ZORB.PC_2105.PV': -0.1879214427968404,\n",
       " 'S-ZORB.PC_5101.PV': 0.09807280475489501,\n",
       " 'S-ZORB.TC_5005.PV': 0.02937200673596701,\n",
       " 'S-ZORB.LC_5001.PV': 0.2958247677443841,\n",
       " 'S-ZORB.LC_5101.PV': -0.337434141983431,\n",
       " 'S-ZORB.TE_5102.PV': 0.019819734158371946,\n",
       " 'S-ZORB.TE_5202.PV': 0.18437401480306762,\n",
       " 'S-ZORB.FT_5101.PV': -0.12739350668324806,\n",
       " 'S-ZORB.TE_9001.PV': -0.07471764249321325,\n",
       " 'S-ZORB.FT_9001.PV': -0.19866778278137767,\n",
       " 'S-ZORB.FT_9403.PV': -0.12539688295469167,\n",
       " 'S-ZORB.PT_9403.PV': 0.11275082657917898,\n",
       " 'S-ZORB.TE_9301.PV': 0.0008551620803599832,\n",
       " 'S-ZORB.FT_9202.PV': -0.05596490645555145,\n",
       " 'S-ZORB.FT_9302.PV': 0.3594070790303029,\n",
       " 'S-ZORB.FT_3301.PV': -0.22952649977940226,\n",
       " 'S-ZORB.FT_9402.PV': -0.1935098800585283,\n",
       " 'S-ZORB.PT_9402.PV': -0.16832904359544615,\n",
       " 'S-ZORB.PT_9401.PV': 0.004860330239177419,\n",
       " 'S-ZORB.PDC_2502.PV': -0.19332570799555493,\n",
       " 'S-ZORB.FC_1005.PV': -0.08667237415511708,\n",
       " 'S-ZORB.FC_1102.PV': 0.271922725896741,\n",
       " 'S-ZORB.TE_1105.PV': -0.22212805929172194,\n",
       " 'S-ZORB.PDI_1102.PV': 0.2760023576785639,\n",
       " 'S-ZORB.TE_1601.PV': 0.14440462189771694,\n",
       " 'S-ZORB.AC_6001.PV': -0.033984385542797806,\n",
       " 'S-ZORB.TE_1608.PV': 0.008843361224234743,\n",
       " 'S-ZORB.PT_6002.PV': -0.19882370472957503,\n",
       " 'S-ZORB.PC_1603.PV': -0.2558884081551451,\n",
       " 'S-ZORB.PT_1602A.PV': 0.20961702763656515,\n",
       " 'S-ZORB.PC_1301.PV': -0.01826604333710109,\n",
       " 'S-ZORB.PT_1201.PV': -0.10687759414849762,\n",
       " 'S-ZORB.TE_1201.PV': -0.21774330346538853,\n",
       " 'S-ZORB.TE_1203.PV': -0.12315432646252776,\n",
       " 'S-ZORB.PC_1202.PV': -0.09486274668360388,\n",
       " 'S-ZORB.TC_2801.PV': -0.31851820602040654,\n",
       " 'S-ZORB.FC_2601.PV': -0.1453865278217371,\n",
       " 'S-ZORB.PDT_2604.PV': -0.15056279269862746,\n",
       " 'S-ZORB.TE_2601.PV': -0.21083135236893283,\n",
       " 'S-ZORB.TC_2607.PV': 0.047860628581770814,\n",
       " 'S-ZORB.PDI_2703A.PV': 0.1498664052513051,\n",
       " 'S-ZORB.PT_1501.PV': 0.2482679651295373,\n",
       " 'S-ZORB.FT_9001.TOTAL': -0.08589788507720619,\n",
       " 'S-ZORB.FT_5201.TOTAL': -0.11263541874520655,\n",
       " 'S-ZORB.FT_5101.TOTAL': -0.08677126583107367,\n",
       " 'S-ZORB.FT_9101.TOTAL': -0.21085010160287512,\n",
       " 'S-ZORB.FT_3301.TOTAL': -0.19254196810154614,\n",
       " 'S-ZORB.FT_9201.TOTAL': -0.1792790204359457,\n",
       " 'S-ZORB.FT_9202.TOTAL': -0.1175526212370883,\n",
       " 'S-ZORB.FT_9301.TOTAL': -0.18439564956112137,\n",
       " 'S-ZORB.FT_9302.TOTAL': -0.10709223022822006,\n",
       " 'S-ZORB.FT_9401.TOTAL': -0.12635214449453291,\n",
       " 'S-ZORB.FT_9402.TOTAL': -0.20623453682516735,\n",
       " 'S-ZORB.FT_9403.TOTAL': -0.17073475039780495,\n",
       " 'S-ZORB.FC_1101.TOTAL': -0.0915213598874793,\n",
       " 'S-ZORB.FT_1204.TOTAL': -0.256314411093851,\n",
       " 'S-ZORB.FT_1001.TOTAL': -0.11245303384283656,\n",
       " 'S-ZORB.TE_1101.DACA': -0.231060371086551,\n",
       " 'S-ZORB.PT_1102.DACA': 0.027383642084600635,\n",
       " 'S-ZORB.PT_1103.DACA': -0.10358118821004211,\n",
       " 'S-ZORB.TE_1106.DACA': -0.2899374840694373,\n",
       " 'S-ZORB.LI_9102.DACA': 0.02067315240942256,\n",
       " 'S-ZORB.TE_9003.DACA': -0.07343428877647445,\n",
       " 'S-ZORB.TE_9002.DACA': -0.12337811883903699,\n",
       " 'S-ZORB.PC_9002.DACA': 0.20998014022870776,\n",
       " 'S-ZORB.LC_5102.DACA': -0.04225199226104218,\n",
       " 'S-ZORB.LT_3801.DACA': 0.30021313683017326,\n",
       " 'S-ZORB.LT_3101.DACA': 0.017834931653882637,\n",
       " 'S-ZORB.PC_3101.DACA': -0.19920224041724977,\n",
       " 'S-ZORB.TE_3101.DACA': -0.11483394263559663,\n",
       " 'S-ZORB.FT_3303.DACA': -0.2272532484948421,\n",
       " 'S-ZORB.TE_1501.DACA': -0.04012691979630782,\n",
       " 'S-ZORB.TE_1502.DACA': -0.05479002416324695,\n",
       " 'S-ZORB.LT_2101.DACA': 0.16253716800500598,\n",
       " 'S-ZORB.FT_2701.DACA': -0.24268110734782442,\n",
       " 'S-ZORB.FC_2702.DACA': 0.2150792949122276,\n",
       " 'S-ZORB.TC_2702.DACA': -0.22191896427339197,\n",
       " 'S-ZORB.LT_2901.DACA': -0.06914233742964841,\n",
       " 'S-ZORB.TE_2901.DACA': -0.12461225021648417,\n",
       " 'S-ZORB.TE_2902.DACA': -0.051158002789832756,\n",
       " 'S-ZORB.TE_2501.DACA': -0.05675188729409778,\n",
       " 'S-ZORB.PT_2501.DACA': -0.19934638277649708,\n",
       " 'S-ZORB.PT_2502.DACA': -0.235346281695466,\n",
       " 'S-ZORB.FT_2433.DACA': -0.16375036349114566,\n",
       " 'S-ZORB.TE_2401.DACA': 0.1305851164225289,\n",
       " 'S-ZORB.SIS_TE_2802': -0.2911863880343874,\n",
       " 'S-ZORB.TE_5002.DACA': -0.20713109707321495,\n",
       " 'S-ZORB.TE_5004.DACA': 0.011384425545082481,\n",
       " 'S-ZORB.TE_5006.DACA': 0.038106456425006964,\n",
       " 'S-ZORB.TE_5003.DACA': 0.015290037099315647,\n",
       " 'S-ZORB.TE_5201.DACA': 0.3013085164385599,\n",
       " 'S-ZORB.TE_5101.DACA': -0.06422961148978228,\n",
       " 'S-ZORB.FT_2431.DACA': 0.04965969068582465,\n",
       " 'S-ZORB.SIS_TE_2606.PV': 0.0550066880302667,\n",
       " 'S-ZORB.SIS_TE_2605.PV': 0.019076062435079873,\n",
       " 'S-ZORB.PDT_2704.DACA': 0.14791119312213435,\n",
       " 'S-ZORB.PDC_2702.DACA': -0.11464086246472908,\n",
       " 'S-ZORB.PT_6009.DACA': -0.01663468284726158,\n",
       " 'S-ZORB.LI_2104.DACA': 0.31951741227729086,\n",
       " 'S-ZORB.TE_6002.DACA': -0.007341891125083413,\n",
       " 'S-ZORB.TE_6001.DACA': 0.08411218291279998,\n",
       " 'S-ZORB.PT_1101.DACA': -0.014067224287991958,\n",
       " 'S-ZORB.FC_5103.DACA': 0.19409826862497612,\n",
       " 'S-ZORB.PDT_3601.DACA': 0.21862512173848606,\n",
       " 'S-ZORB.PT_6006.DACA': 0.08069384896408476,\n",
       " 'S-ZORB.SIS_TE_6009.PV': 0.006526676946606415,\n",
       " 'S-ZORB.SIS_PT_6007.PV': 0.113524708510829,\n",
       " 'S-ZORB.TE_6008.DACA': -0.02271084795069482,\n",
       " 'S-ZORB.PT_5201.DACA': 0.1015108827790286,\n",
       " 'S-ZORB.PC_3501.DACA': 0.2315053023516191,\n",
       " 'S-ZORB.LT_9101.DACA': 0.09067760346108261,\n",
       " 'S-ZORB.PT_6003.DACA': 0.1844337949724357,\n",
       " 'S-ZORB.PDI_2105.DACA': -0.2474395643408618,\n",
       " 'S-ZORB.BS_LT_2401.PV': -0.16256921725187723,\n",
       " 'S-ZORB.FT_3701.DACA': 0.07687774156682424,\n",
       " 'S-ZORB.PT_2603.DACA': -0.19049405779490258,\n",
       " 'S-ZORB.PDT_2606.DACA': 0.08801593099530565,\n",
       " 'S-ZORB.ZT_2634.DACA': -0.24176116314969334,\n",
       " 'S-ZORB.TE_2603.DACA': -0.23800796058080242,\n",
       " 'S-ZORB.TE_2604.DACA': 0.019145153918961356,\n",
       " 'S-ZORB.TE_2104.DACA': 0.17139519831341968,\n",
       " 'S-ZORB.PDT_2001.DACA': -0.20875494529620764,\n",
       " 'S-ZORB.TE_2002.DACA': 0.04081410084264835,\n",
       " 'S-ZORB.TE_2004.DACA': -0.003004105440560897,\n",
       " 'S-ZORB.TE_2003.DACA': 0.04525986590694542,\n",
       " 'S-ZORB.PDT_1003.DACA': -0.2490705725594176,\n",
       " 'S-ZORB.PDT_1002.DACA': 0.20483299620193093,\n",
       " 'S-ZORB.PDT_3503.DACA': 0.20066013807784222,\n",
       " 'S-ZORB.PDT_3502.DACA': -0.036933690708002925,\n",
       " 'S-ZORB.PDT_3002.DACA': 0.10043552951386786,\n",
       " 'S-ZORB.PDT_1004.DACA': 0.01957721956960743,\n",
       " 'S-ZORB.PDI_2903.DACA': -0.2133053124524788,\n",
       " 'S-ZORB.PT_2901.DACA': 0.11408000037259386,\n",
       " 'S-ZORB.PT_2106.DACA': -0.19086765345041604,\n",
       " 'S-ZORB.TE_7508B.DACA': -0.09838948528159644,\n",
       " 'S-ZORB.TE_7506B.DACA': -0.11305635545612554,\n",
       " 'S-ZORB.PT_7505B.DACA': -0.03897641298049327,\n",
       " 'S-ZORB.TE_7504B.DACA': -0.08170234295057675,\n",
       " 'S-ZORB.PT_7503B.DACA': -0.04878407861146759,\n",
       " 'S-ZORB.TE_7502B.DACA': -0.11557685548350823,\n",
       " 'S-ZORB.TE_7106B.DACA': 0.1314296112256297,\n",
       " 'S-ZORB.TE_7108B.DACA': 0.13375677530626698,\n",
       " 'S-ZORB.PT_7107B.DACA': 0.1279808830655149,\n",
       " 'S-ZORB.PT_7103B.DACA': 0.10482509791598138,\n",
       " 'S-ZORB.PT_1604.DACA': 0.022353835285764012,\n",
       " 'S-ZORB.TC_1607.DACA': 0.1427134877765927,\n",
       " 'S-ZORB.PT_6005.DACA': -0.19727305352175578,\n",
       " 'S-ZORB.PT_6008.DACA': -0.279067561812246,\n",
       " 'S-ZORB.PT_1601.DACA': 0.001707831758407191,\n",
       " 'S-ZORB.TE_1605.DACA': 0.08083267829515871,\n",
       " 'S-ZORB.SIS_FT_3202.PV': -0.19052815497049477,\n",
       " 'S-ZORB.TXE_3202A.DACA': 0.0711869792109372,\n",
       " 'S-ZORB.TXE_3201A.DACA': 0.0647766738490287,\n",
       " 'S-ZORB.TXE_2203A.DACA': 0.24671011532281484,\n",
       " 'S-ZORB.TXE_2202A.DACA': 0.24666290171102692,\n",
       " 'S-ZORB.TE_5008.DACA': 0.11288138249148826,\n",
       " 'S-ZORB.TE_5009.DACA': -0.05944036468771802,\n",
       " 'S-ZORB.FC_5001.DACA': 0.2547375900467951,\n",
       " 'S-ZORB.TE_1503.DACA': -0.11329497413517337,\n",
       " 'S-ZORB.AT-0001.DACA.PV': 0.2780548835380038,\n",
       " 'S-ZORB.AT-0002.DACA.PV': 0.277238879638677,\n",
       " 'S-ZORB.AT-0004.DACA.PV': -0.22325088145550206,\n",
       " 'S-ZORB.AT-0005.DACA.PV': 0.22870839207757634,\n",
       " 'S-ZORB.AT-0006.DACA.PV': -0.20752138258071245,\n",
       " 'S-ZORB.AT-0007.DACA.PV': -0.21619796577927594,\n",
       " 'S-ZORB.AT-0008.DACA.PV': -0.22506569468434764,\n",
       " 'S-ZORB.AT-0009.DACA.PV': -0.21641773884696774,\n",
       " 'S-ZORB.AT-0011.DACA.PV': -0.22264900085993714,\n",
       " 'S-ZORB.FT_1204.DACA.PV': 0.11274239598923164,\n",
       " 'S-ZORB.LC_5102.PIDA.PV': -0.04244329822617364,\n",
       " 'S-ZORB.TE_1102.DACA.PV': 0.165267849615711,\n",
       " 'S-ZORB.CAL.LINE.PV': 0.12329788231773357,\n",
       " 'S-ZORB.CAL.CANGLIANG.PV': 0.3195417316313435,\n",
       " 'S-ZORB.CAL.SPEED.PV': -0.3203618025064861,\n",
       " 'S-ZORB.FT_1503.TOTALIZERA.PV': 0.30121588089762213,\n",
       " 'S-ZORB.FT_1504.TOTALIZERA.PV': 0.3061069287124234,\n",
       " 'S-ZORB.PC_1001A.PV': 0.23047504093930693}"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_list = dict(data_325_corr.iloc[0])\n",
    "corr_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('RON损失', 1.0),\n",
       " ('S-ZORB.FT_9302.PV', 0.3594070790303029),\n",
       " ('S-ZORB.LC_5101.PV', -0.337434141983431),\n",
       " ('S-ZORB.CAL.SPEED.PV', -0.3203618025064861),\n",
       " ('S-ZORB.CAL.CANGLIANG.PV', 0.3195417316313435),\n",
       " ('S-ZORB.LI_2104.DACA', 0.31951741227729086),\n",
       " ('S-ZORB.PDT_2104.PV', 0.3194412459848149),\n",
       " ('S-ZORB.TC_2801.PV', -0.31851820602040654),\n",
       " ('S-ZORB.FT_1504.TOTALIZERA.PV', 0.3061069287124234),\n",
       " ('S-ZORB.TE_5201.DACA', 0.3013085164385599),\n",
       " ('S-ZORB.FT_1503.TOTALIZERA.PV', 0.30121588089762213),\n",
       " ('S-ZORB.LT_3801.DACA', 0.30021313683017326),\n",
       " ('S-ZORB.LC_5001.PV', 0.2958247677443841),\n",
       " ('S-ZORB.SIS_TE_2802', -0.2911863880343874),\n",
       " ('S-ZORB.CAL_H2.PV', 0.2901741749774067),\n",
       " ('S-ZORB.TE_1106.DACA', -0.2899374840694373),\n",
       " ('S-ZORB.PT_6008.DACA', -0.279067561812246),\n",
       " ('S-ZORB.AT-0001.DACA.PV', 0.2780548835380038),\n",
       " ('S-ZORB.AT-0002.DACA.PV', 0.277238879638677),\n",
       " ('S-ZORB.PDI_1102.PV', 0.2760023576785639),\n",
       " ('S-ZORB.FC_1102.PV', 0.271922725896741),\n",
       " ('S-ZORB.PDI_2102.PV', 0.25692784609321867),\n",
       " ('S-ZORB.FT_1204.TOTAL', -0.256314411093851),\n",
       " ('S-ZORB.PC_1603.PV', -0.2558884081551451),\n",
       " ('S-ZORB.FC_5001.DACA', 0.2547375900467951),\n",
       " ('S-ZORB.PDT_1003.DACA', -0.2490705725594176),\n",
       " ('S-ZORB.PT_1501.PV', 0.2482679651295373),\n",
       " ('S-ZORB.FC_2801.PV', -0.24821297310380552),\n",
       " ('S-ZORB.PDI_2105.DACA', -0.2474395643408618),\n",
       " ('S-ZORB.TXE_2203A.DACA', 0.24671011532281484),\n",
       " ('S-ZORB.TXE_2202A.DACA', 0.24666290171102692),\n",
       " ('S-ZORB.FT_2701.DACA', -0.24268110734782442),\n",
       " ('S-ZORB.ZT_2634.DACA', -0.24176116314969334),\n",
       " ('S-ZORB.TE_2603.DACA', -0.23800796058080242),\n",
       " ('S-ZORB.PT_2502.DACA', -0.235346281695466),\n",
       " ('S-ZORB.PC_3501.DACA', 0.2315053023516191),\n",
       " ('S-ZORB.TE_1101.DACA', -0.231060371086551),\n",
       " ('S-ZORB.PC_1001A.PV', 0.23047504093930693),\n",
       " ('S-ZORB.FT_3301.PV', -0.22952649977940226),\n",
       " ('S-ZORB.AT-0005.DACA.PV', 0.22870839207757634),\n",
       " ('原料性质：饱和烃', 0.22786101194372982),\n",
       " ('S-ZORB.FT_3303.DACA', -0.2272532484948421),\n",
       " ('S-ZORB.TE_2301.PV', 0.22632756730113604),\n",
       " ('S-ZORB.AT-0008.DACA.PV', -0.22506569468434764),\n",
       " ('S-ZORB.AT-0004.DACA.PV', -0.22325088145550206),\n",
       " ('S-ZORB.AT-0011.DACA.PV', -0.22264900085993714),\n",
       " ('S-ZORB.TE_1105.PV', -0.22212805929172194),\n",
       " ('S-ZORB.TC_2702.DACA', -0.22191896427339197),\n",
       " ('S-ZORB.PDT_3601.DACA', 0.21862512173848606),\n",
       " ('S-ZORB.TE_1201.PV', -0.21774330346538853),\n",
       " ('S-ZORB.AT-0009.DACA.PV', -0.21641773884696774),\n",
       " ('S-ZORB.AT-0007.DACA.PV', -0.21619796577927594),\n",
       " ('S-ZORB.FC_2702.DACA', 0.2150792949122276),\n",
       " ('S-ZORB.PDI_2903.DACA', -0.2133053124524788),\n",
       " ('S-ZORB.FT_9101.TOTAL', -0.21085010160287512),\n",
       " ('S-ZORB.TE_2601.PV', -0.21083135236893283),\n",
       " ('S-ZORB.PC_9002.DACA', 0.20998014022870776),\n",
       " ('S-ZORB.PT_1602A.PV', 0.20961702763656515),\n",
       " ('S-ZORB.PDT_2001.DACA', -0.20875494529620764),\n",
       " ('S-ZORB.AT-0006.DACA.PV', -0.20752138258071245),\n",
       " ('S-ZORB.TE_5002.DACA', -0.20713109707321495),\n",
       " ('S-ZORB.FT_9402.TOTAL', -0.20623453682516735),\n",
       " ('S-ZORB.PDT_1002.DACA', 0.20483299620193093),\n",
       " ('S-ZORB.PDT_3503.DACA', 0.20066013807784222),\n",
       " ('S-ZORB.PT_2501.DACA', -0.19934638277649708),\n",
       " ('S-ZORB.PC_3101.DACA', -0.19920224041724977),\n",
       " ('S-ZORB.PT_6002.PV', -0.19882370472957503),\n",
       " ('S-ZORB.FT_9001.PV', -0.19866778278137767),\n",
       " ('S-ZORB.PT_6005.DACA', -0.19727305352175578),\n",
       " ('S-ZORB.FC_5103.DACA', 0.19409826862497612),\n",
       " ('S-ZORB.FT_9402.PV', -0.1935098800585283),\n",
       " ('S-ZORB.PDC_2502.PV', -0.19332570799555493),\n",
       " ('S-ZORB.FT_3301.TOTAL', -0.19254196810154614),\n",
       " ('S-ZORB.PT_2106.DACA', -0.19086765345041604),\n",
       " ('S-ZORB.SIS_FT_3202.PV', -0.19052815497049477),\n",
       " ('S-ZORB.PT_2603.DACA', -0.19049405779490258),\n",
       " ('S-ZORB.PC_2105.PV', -0.1879214427968404),\n",
       " ('原料性质：烯烃', -0.18765934537045034),\n",
       " ('S-ZORB.PT_6003.DACA', 0.1844337949724357),\n",
       " ('S-ZORB.FT_9301.TOTAL', -0.18439564956112137),\n",
       " ('S-ZORB.TE_5202.PV', 0.18437401480306762),\n",
       " ('S-ZORB.FT_9201.TOTAL', -0.1792790204359457),\n",
       " ('S-ZORB.TE_2104.DACA', 0.17139519831341968),\n",
       " ('S-ZORB.FT_9403.TOTAL', -0.17073475039780495),\n",
       " ('S-ZORB.PT_9402.PV', -0.16832904359544615),\n",
       " ('S-ZORB.TE_1102.DACA.PV', 0.165267849615711),\n",
       " ('S-ZORB.FT_2433.DACA', -0.16375036349114566),\n",
       " ('S-ZORB.BS_LT_2401.PV', -0.16256921725187723),\n",
       " ('S-ZORB.LT_2101.DACA', 0.16253716800500598),\n",
       " ('待生吸附剂性质：焦炭', -0.15961888365506713),\n",
       " ('原料性质：硫含量', -0.15492341987801606),\n",
       " ('S-ZORB.PDT_2604.PV', -0.15056279269862746),\n",
       " ('S-ZORB.PDI_2703A.PV', 0.1498664052513051),\n",
       " ('S-ZORB.PDT_2704.DACA', 0.14791119312213435),\n",
       " ('S-ZORB.FC_2601.PV', -0.1453865278217371),\n",
       " ('S-ZORB.TE_1601.PV', 0.14440462189771694),\n",
       " ('S-ZORB.TC_1607.DACA', 0.1427134877765927),\n",
       " ('S-ZORB.TE_7108B.DACA', 0.13375677530626698),\n",
       " ('S-ZORB.TE_7106B.DACA', 0.1314296112256297),\n",
       " ('S-ZORB.TE_2401.DACA', 0.1305851164225289),\n",
       " ('S-ZORB.PT_7107B.DACA', 0.1279808830655149),\n",
       " ('S-ZORB.FT_5101.PV', -0.12739350668324806),\n",
       " ('S-ZORB.TE_2103.PV', 0.1269082701573267),\n",
       " ('S-ZORB.FT_9401.TOTAL', -0.12635214449453291),\n",
       " ('S-ZORB.FT_9403.PV', -0.12539688295469167),\n",
       " ('S-ZORB.TE_2901.DACA', -0.12461225021648417),\n",
       " ('S-ZORB.TE_9002.DACA', -0.12337811883903699),\n",
       " ('S-ZORB.CAL.LINE.PV', 0.12329788231773357),\n",
       " ('S-ZORB.TE_1203.PV', -0.12315432646252776),\n",
       " ('S-ZORB.FT_9202.TOTAL', -0.1175526212370883),\n",
       " ('原料性质：溴值', 0.11671199874766362),\n",
       " ('S-ZORB.TE_7502B.DACA', -0.11557685548350823),\n",
       " ('S-ZORB.TE_3101.DACA', -0.11483394263559663),\n",
       " ('S-ZORB.PDC_2702.DACA', -0.11464086246472908),\n",
       " ('S-ZORB.PT_2901.DACA', 0.11408000037259386),\n",
       " ('S-ZORB.SIS_PT_6007.PV', 0.113524708510829),\n",
       " ('S-ZORB.TE_1503.DACA', -0.11329497413517337),\n",
       " ('S-ZORB.TE_7506B.DACA', -0.11305635545612554),\n",
       " ('S-ZORB.TE_5008.DACA', 0.11288138249148826),\n",
       " ('S-ZORB.PT_9403.PV', 0.11275082657917898),\n",
       " ('S-ZORB.FT_1204.DACA.PV', 0.11274239598923164),\n",
       " ('S-ZORB.FT_5201.TOTAL', -0.11263541874520655),\n",
       " ('S-ZORB.FT_1001.TOTAL', -0.11245303384283656),\n",
       " ('S-ZORB.FT_9302.TOTAL', -0.10709223022822006),\n",
       " ('S-ZORB.PT_1201.PV', -0.10687759414849762),\n",
       " ('原料性质：密度', -0.10669343144138563),\n",
       " ('S-ZORB.PT_7103B.DACA', 0.10482509791598138),\n",
       " ('S-ZORB.PT_1103.DACA', -0.10358118821004211),\n",
       " ('S-ZORB.PT_5201.DACA', 0.1015108827790286),\n",
       " ('S-ZORB.PDT_3002.DACA', 0.10043552951386786),\n",
       " ('S-ZORB.TE_7508B.DACA', -0.09838948528159644),\n",
       " ('S-ZORB.PC_5101.PV', 0.09807280475489501),\n",
       " ('S-ZORB.PC_1202.PV', -0.09486274668360388),\n",
       " ('S-ZORB.FC_1101.TOTAL', -0.0915213598874793),\n",
       " ('S-ZORB.LT_9101.DACA', 0.09067760346108261),\n",
       " ('S-ZORB.PDT_2606.DACA', 0.08801593099530565),\n",
       " ('S-ZORB.FT_5101.TOTAL', -0.08677126583107367),\n",
       " ('S-ZORB.FC_1005.PV', -0.08667237415511708),\n",
       " ('S-ZORB.FT_9001.TOTAL', -0.08589788507720619),\n",
       " ('S-ZORB.TE_6001.DACA', 0.08411218291279998),\n",
       " ('S-ZORB.TE_7504B.DACA', -0.08170234295057675),\n",
       " ('S-ZORB.TE_1605.DACA', 0.08083267829515871),\n",
       " ('S-ZORB.PT_6006.DACA', 0.08069384896408476),\n",
       " ('S-ZORB.FT_3701.DACA', 0.07687774156682424),\n",
       " ('S-ZORB.TE_9001.PV', -0.07471764249321325),\n",
       " ('S-ZORB.TE_9003.DACA', -0.07343428877647445),\n",
       " ('S-ZORB.TXE_3202A.DACA', 0.0711869792109372),\n",
       " ('S-ZORB.LT_2901.DACA', -0.06914233742964841),\n",
       " ('S-ZORB.PT_2301.PV', -0.06622225030936965),\n",
       " ('S-ZORB.PT_2101.PV', -0.06521102562351905),\n",
       " ('S-ZORB.TXE_3201A.DACA', 0.0647766738490287),\n",
       " ('S-ZORB.TE_5101.DACA', -0.06422961148978228),\n",
       " ('原料性质：芳烃', -0.0608612182274977),\n",
       " ('S-ZORB.TE_5009.DACA', -0.05944036468771802),\n",
       " ('再生吸附剂性质：S', -0.05875790400741909),\n",
       " ('S-ZORB.TE_2501.DACA', -0.05675188729409778),\n",
       " ('再生吸附剂性质：焦炭', -0.05672641807456995),\n",
       " ('S-ZORB.FT_9202.PV', -0.05596490645555145),\n",
       " ('S-ZORB.SIS_TE_2606.PV', 0.0550066880302667),\n",
       " ('S-ZORB.TE_1502.DACA', -0.05479002416324695),\n",
       " ('S-ZORB.TE_2902.DACA', -0.051158002789832756),\n",
       " ('S-ZORB.FT_2431.DACA', 0.04965969068582465),\n",
       " ('S-ZORB.PT_7503B.DACA', -0.04878407861146759),\n",
       " ('S-ZORB.TC_2607.PV', 0.047860628581770814),\n",
       " ('S-ZORB.TE_2003.DACA', 0.04525986590694542),\n",
       " ('S-ZORB.LC_5102.PIDA.PV', -0.04244329822617364),\n",
       " ('S-ZORB.LC_5102.DACA', -0.04225199226104218),\n",
       " ('S-ZORB.TE_2002.DACA', 0.04081410084264835),\n",
       " ('S-ZORB.TE_1501.DACA', -0.04012691979630782),\n",
       " ('S-ZORB.PT_7505B.DACA', -0.03897641298049327),\n",
       " ('S-ZORB.TE_5006.DACA', 0.038106456425006964),\n",
       " ('S-ZORB.PDT_3502.DACA', -0.036933690708002925),\n",
       " ('原料性质：辛烷值', -0.03659090253178292),\n",
       " ('S-ZORB.AC_6001.PV', -0.033984385542797806),\n",
       " ('S-ZORB.TC_5005.PV', 0.02937200673596701),\n",
       " ('S-ZORB.PT_1102.DACA', 0.027383642084600635),\n",
       " ('S-ZORB.TE_6008.DACA', -0.02271084795069482),\n",
       " ('S-ZORB.PT_1604.DACA', 0.022353835285764012),\n",
       " ('S-ZORB.LI_9102.DACA', 0.02067315240942256),\n",
       " ('S-ZORB.TE_5102.PV', 0.019819734158371946),\n",
       " ('S-ZORB.PDT_1004.DACA', 0.01957721956960743),\n",
       " ('S-ZORB.TE_2604.DACA', 0.019145153918961356),\n",
       " ('S-ZORB.SIS_TE_2605.PV', 0.019076062435079873),\n",
       " ('S-ZORB.PC_1301.PV', -0.01826604333710109),\n",
       " ('S-ZORB.LT_3101.DACA', 0.017834931653882637),\n",
       " ('S-ZORB.PT_6009.DACA', -0.01663468284726158),\n",
       " ('S-ZORB.TE_5003.DACA', 0.015290037099315647),\n",
       " ('S-ZORB.PT_2801.PV', 0.014502299816070199),\n",
       " ('S-ZORB.PT_1101.DACA', -0.014067224287991958),\n",
       " ('S-ZORB.TE_5004.DACA', 0.011384425545082481),\n",
       " ('待生吸附剂性质：S', 0.00927577410859538),\n",
       " ('S-ZORB.TE_1608.PV', 0.008843361224234743),\n",
       " ('S-ZORB.TE_6002.DACA', -0.007341891125083413),\n",
       " ('S-ZORB.SIS_TE_6009.PV', 0.006526676946606415),\n",
       " ('S-ZORB.PT_9401.PV', 0.004860330239177419),\n",
       " ('S-ZORB.TE_2004.DACA', -0.003004105440560897),\n",
       " ('S-ZORB.TE_2005.PV', -0.0027367705819765996),\n",
       " ('S-ZORB.PT_1601.DACA', 0.001707831758407191),\n",
       " ('S-ZORB.TE_9301.PV', 0.0008551620803599832)]"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_list = sorted(corr_list.items(), key=lambda item:abs(item[1]), reverse=True)\n",
    "corr_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_feature_names = [f[0] for f in corr_list[1:31]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "# models=[DecisionTreeRegressor(),RandomForestRegressor(),XGBRegressor(),AdaBoostRegressor(),GradientBoostingRegressor()]\n",
    "# models_str=['DecisionTree', 'RandomForestRegressor','XGBoost','AdaBoost','GradientBoost']\n",
    "# score_=[]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train,x_test,y_train,y_test = train_test_split(data_325[ new_feature_names ],label,test_size = 0.3,random_state = 6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "258    1.22\n",
       "314    1.15\n",
       "190    1.34\n",
       "158    1.22\n",
       "122    1.20\n",
       "182    1.04\n",
       "30     1.71\n",
       "103    1.08\n",
       "56     1.10\n",
       "300    1.15\n",
       "225    1.32\n",
       "242    1.10\n",
       "239    1.30\n",
       "4      1.28\n",
       "137    1.71\n",
       "269    0.84\n",
       "301    1.25\n",
       "203    1.41\n",
       "184    0.44\n",
       "162    1.14\n",
       "298    1.15\n",
       "81     1.58\n",
       "307    1.25\n",
       "248    1.30\n",
       "27     1.11\n",
       "231    1.34\n",
       "221    1.42\n",
       "115    1.24\n",
       "74     1.40\n",
       "78     1.68\n",
       "       ... \n",
       "267    1.34\n",
       "109    1.30\n",
       "105    1.28\n",
       "196    1.01\n",
       "0      1.38\n",
       "195    1.21\n",
       "143    1.51\n",
       "223    1.02\n",
       "141    0.20\n",
       "263    1.44\n",
       "154    1.42\n",
       "257    1.21\n",
       "59     1.18\n",
       "180    1.24\n",
       "296    1.08\n",
       "53     1.20\n",
       "8      1.10\n",
       "6      1.20\n",
       "199    1.31\n",
       "146    1.21\n",
       "309    1.28\n",
       "52     1.20\n",
       "67     1.38\n",
       "21     1.01\n",
       "259    1.21\n",
       "112    1.20\n",
       "322    1.35\n",
       "84     1.18\n",
       "191    1.51\n",
       "286    1.08\n",
       "Name: RON损失, Length: 98, dtype: float64"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.neighbors import KNeighborsRegressor\n",
    "from sklearn.svm import SVR\n",
    "from sklearn.linear_model import Lasso\n",
    "from sklearn.linear_model import Ridge\n",
    "from sklearn.neural_network import MLPRegressor\n",
    "from sklearn.tree import DecisionTreeRegressor\n",
    "from sklearn.tree import ExtraTreeRegressor\n",
    "from xgboost import XGBRegressor\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.ensemble import AdaBoostRegressor\n",
    "from sklearn.ensemble import GradientBoostingRegressor\n",
    "from sklearn.ensemble import BaggingRegressor\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "\n",
    "models=[DecisionTreeRegressor(),RandomForestRegressor(),XGBRegressor(),AdaBoostRegressor(),GradientBoostingRegressor()]\n",
    "models_str=['DecisionTree', 'RandomForestRegressor','XGBoost','AdaBoost','GradientBoost']\n",
    "score_=[]\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "res = y_test - y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "258    0.0\n",
       "314    0.0\n",
       "190    0.0\n",
       "158    0.0\n",
       "122    0.0\n",
       "182    0.0\n",
       "30     0.0\n",
       "103    0.0\n",
       "56     0.0\n",
       "300    0.0\n",
       "225    0.0\n",
       "242    0.0\n",
       "239    0.0\n",
       "4      0.0\n",
       "137    0.0\n",
       "269    0.0\n",
       "301    0.0\n",
       "203    0.0\n",
       "184    0.0\n",
       "162    0.0\n",
       "298    0.0\n",
       "81     0.0\n",
       "307    0.0\n",
       "248    0.0\n",
       "27     0.0\n",
       "231    0.0\n",
       "221    0.0\n",
       "115    0.0\n",
       "74     0.0\n",
       "78     0.0\n",
       "      ... \n",
       "267    0.0\n",
       "109    0.0\n",
       "105    0.0\n",
       "196    0.0\n",
       "0      0.0\n",
       "195    0.0\n",
       "143    0.0\n",
       "223    0.0\n",
       "141    0.0\n",
       "263    0.0\n",
       "154    0.0\n",
       "257    0.0\n",
       "59     0.0\n",
       "180    0.0\n",
       "296    0.0\n",
       "53     0.0\n",
       "8      0.0\n",
       "6      0.0\n",
       "199    0.0\n",
       "146    0.0\n",
       "309    0.0\n",
       "52     0.0\n",
       "67     0.0\n",
       "21     0.0\n",
       "259    0.0\n",
       "112    0.0\n",
       "322    0.0\n",
       "84     0.0\n",
       "191    0.0\n",
       "286    0.0\n",
       "Name: RON损失, Length: 98, dtype: float64"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DecisionTree 最佳得分:-0.42619532062815196\n",
      "DecisionTree 最佳参数: {'max_depth': 5}\n",
      "0.08332822029371888 0.28866627841457143 0.19595623963871137 -0.42038016408949797\n",
      "RandomForestRegressor 最佳得分:0.11486079361237546\n",
      "RandomForestRegressor 最佳参数: {'max_depth': 5, 'n_estimators': 200}\n",
      "0.055984018001786366 0.23660942077987165 0.16650457014144182 0.04571838453436072\n",
      "XGBoost 最佳得分:0.028484882517769563\n",
      "XGBoost 最佳参数: {'learning_rate': 0.05, 'max_depth': 5, 'min_child_weight': 6, 'n_estimators': 100}\n",
      "0.06259254181038754 0.25018501515955655 0.17762676769373273 -0.0669279206256912\n",
      "AdaBoost 最佳得分:0.14939828783115613\n",
      "AdaBoost 最佳参数: {'learning_rate': 0.05, 'n_estimators': 50}\n",
      "0.060118797987698376 0.24519134974076548 0.16930624536445035 -0.024761453558453717\n",
      "GradientBoost 最佳得分:0.07570918444238653\n",
      "GradientBoost 最佳参数: {'learning_rate': 0.05, 'max_depth': 5, 'n_estimators': 50}\n",
      "0.057058338460771435 0.23886887294239792 0.16228135612193864 0.02740593930945112\n"
     ]
    }
   ],
   "source": [
    "for name,model in zip(models_str,models):\n",
    "#     print('开始训练模型：'+name)\n",
    "#     model=model   #建立模型\n",
    "#     model.fit(x_train,y_train)\n",
    "#     y_pred=model.predict(x_test)  \n",
    "#     score_model = model.score(x_test,y_test)\n",
    "#     print(name +' 得分:'+str(score_model))\n",
    "    if name == 'DecisionTree':\n",
    "        para_dict = {\n",
    "        'max_depth': [m for m in range(5,10)]\n",
    "        }\n",
    "    elif name == 'XGBoost':\n",
    "        para_dict = {\n",
    "        \"max_depth\": [5,10,15],\n",
    "        \"min_child_weight\" : [1,3,6],\n",
    "        \"n_estimators\": [50,100,200],\n",
    "        \"learning_rate\": [0.05, 0.1]\n",
    "        }\n",
    "    elif name == 'RandomForestRegressor':\n",
    "        para_dict = {\n",
    "        \"max_depth\": [5,10,15],\n",
    "        \"n_estimators\": [50,100,200]\n",
    "        }\n",
    "    elif name == 'AdaBoost':\n",
    "        para_dict = {\n",
    "        \"n_estimators\": [50,100,200],\n",
    "        \"learning_rate\": [0.05, 0.1]\n",
    "        }\n",
    "    elif name == 'GradientBoost':\n",
    "        para_dict = {\n",
    "        \"max_depth\": [5,10,15],\n",
    "        \"n_estimators\": [50,100,200],\n",
    "        \"learning_rate\": [0.05, 0.1,0.16]\n",
    "        }\n",
    "    gcv = GridSearchCV(model, para_dict)\n",
    "    gcv.fit(x_train,y_train)\n",
    "    gcv_pre = gcv.predict(x_test)\n",
    "    gcv_score = gcv.score(x_test,y_test)\n",
    "    gcv_feature = gcv.best_params_\n",
    "    print(name +' 最佳得分:'+str(gcv.best_score_ ))\n",
    "    print(name + \" 最佳参数:\", gcv_feature)\n",
    "    res = res + gcv_pre\n",
    "    mse_score = MSE(y_test,gcv_pre)\n",
    "    rmse_score = np.sqrt(mse_score)\n",
    "    mae_score = mean_absolute_error(y_test,gcv_pre)\n",
    "    rr_score = r2_score(y_test,gcv_pre)\n",
    "    \n",
    "    print(mse_score, rmse_score, mae_score, rr_score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [],
   "source": [
    "res = res / 5.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.05825710717589138 0.24136509104651274 0.1658422840970341 0.006972197915651512\n"
     ]
    }
   ],
   "source": [
    "mse_score = MSE(y_test,res)\n",
    "rmse_score = np.sqrt(mse_score)\n",
    "mae_score = mean_absolute_error(y_test,res)\n",
    "rr_score = r2_score(y_test,res)\n",
    "\n",
    "print(mse_score, rmse_score, mae_score, rr_score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1.219999999999999,\n",
       " 1.150000000000006,\n",
       " 1.340000000000003,\n",
       " 1.220000000000013,\n",
       " 1.200000000000003,\n",
       " 1.040000000000006,\n",
       " 1.709999999999994,\n",
       " 1.079999999999998,\n",
       " 1.100000000000009,\n",
       " 1.149999999999991,\n",
       " 1.320000000000007,\n",
       " 1.100000000000009,\n",
       " 1.300000000000011,\n",
       " 1.279999999999987,\n",
       " 1.709999999999994,\n",
       " 0.8399999999999892,\n",
       " 1.25,\n",
       " 1.409999999999997,\n",
       " 0.4399999999999977,\n",
       " 1.140000000000001,\n",
       " 1.149999999999991,\n",
       " 1.579999999999998,\n",
       " 1.25,\n",
       " 1.300000000000011,\n",
       " 1.109999999999999,\n",
       " 1.340000000000003,\n",
       " 1.420000000000002,\n",
       " 1.239999999999995,\n",
       " 1.400000000000006,\n",
       " 1.680000000000007,\n",
       " 1.780000000000001,\n",
       " 1.079999999999998,\n",
       " 1.219999999999999,\n",
       " 1.249999999999986,\n",
       " 1.0,\n",
       " 1.779999999999987,\n",
       " 1.239999999999995,\n",
       " 1.219999999999999,\n",
       " 1.780000000000001,\n",
       " 1.009999999999991,\n",
       " 1.219999999999999,\n",
       " 1.209999999999994,\n",
       " 1.509999999999991,\n",
       " 1.239999999999995,\n",
       " 1.209999999999994,\n",
       " 1.200000000000003,\n",
       " 0.6099999999999852,\n",
       " 1.300000000000011,\n",
       " 1.079999999999998,\n",
       " 0.9399999999999977,\n",
       " 1.300000000000011,\n",
       " 1.140000000000001,\n",
       " 1.399999999999991,\n",
       " 1.200000000000003,\n",
       " 1.280000000000001,\n",
       " 1.109999999999999,\n",
       " 1.579999999999984,\n",
       " 1.249999999999986,\n",
       " 1.140000000000001,\n",
       " 1.320000000000007,\n",
       " 0.7000000000000028,\n",
       " 1.200000000000003,\n",
       " 1.509999999999991,\n",
       " 1.339999999999989,\n",
       " 1.439999999999998,\n",
       " 1.409999999999997,\n",
       " 1.310000000000002,\n",
       " 1.0,\n",
       " 1.339999999999989,\n",
       " 1.300000000000011,\n",
       " 1.280000000000001,\n",
       " 1.009999999999991,\n",
       " 1.379999999999995,\n",
       " 1.209999999999994,\n",
       " 1.509999999999991,\n",
       " 1.019999999999996,\n",
       " 0.2000000000000028,\n",
       " 1.439999999999998,\n",
       " 1.420000000000002,\n",
       " 1.209999999999994,\n",
       " 1.179999999999993,\n",
       " 1.239999999999995,\n",
       " 1.079999999999998,\n",
       " 1.200000000000003,\n",
       " 1.100000000000009,\n",
       " 1.200000000000017,\n",
       " 1.310000000000002,\n",
       " 1.210000000000008,\n",
       " 1.279999999999987,\n",
       " 1.200000000000003,\n",
       " 1.379999999999995,\n",
       " 1.010000000000005,\n",
       " 1.209999999999994,\n",
       " 1.200000000000003,\n",
       " 1.349999999999994,\n",
       " 1.180000000000007,\n",
       " 1.509999999999991,\n",
       " 1.079999999999998]"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 8))\n",
    "plt.plot(range(len(res)), res, label='res')\n",
    "plt.plot(range(len(list(y_test))), list(y_test), label='test')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [],
   "source": [
    "# for name,model in zip(models_str,models):\n",
    "#     print('开始训练模型：'+name)\n",
    "#     model=model   #建立模型\n",
    "#     model.fit(x_train,y_train)\n",
    "#     y_pred=model.predict(x_test)  \n",
    "#     score=model.score(x_test,y_test)\n",
    "#     score_.append(str(score)[:5])\n",
    "#     #print(y_pred[:5])\n",
    "    \n",
    "#     print(name +' 得分:'+str(score))\n",
    "#     mse_score = MSE(y_test,y_pred)\n",
    "#     rmse_score = np.sqrt(mse_score)\n",
    "#     mae_score = mean_absolute_error(y_test,y_pred)\n",
    "#     rr_score = r2_score(y_test,y_pred)\n",
    "\n",
    "#     print(mse_score, rmse_score, mae_score, rr_score)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
